그림1-1-1. K*Grid 구현 계획=1,60,1

그림1-1-2. K*Grid 구현 개념도=3,62,1

그림1-1-3. 슈퍼컴퓨터 중심 계산 그리드=9,68,1

그림1-1-4. 클러스터 중심 계산 그리드=9,68,1

그림1-1-5. KMI(K*Grid Middleware Initiative)구조=10,69,1

그림1-2-1. 기대 그리드 시장=12,71,1

그림1-2-2. 테라 그리드 개요=15,74,1

그림1-2-3. HPC 연구 그리드 관련 시스템=16,75,1

그림1-2-4. 비즈니스 솔루션=24,83,1

그림1-2-5. On-Dernane 그리드 솔루션 접근=25,84,1

그림1-2-6. 그리드 솔루션 구조=26,85,1

그림1-2-7. 허브 구조의 그리드 솔루션 접근=27,86,1

그림1-2-8. HP의 어댑티브 엔터프라이즈 전략=28,87,1

그림1-2-9. HP의 플래니터리 컴퓨팅 로드맵=29,88,1

그림1-2-10. HP의 그리드 솔루션 스택=29,88,1

그림1-2-11. 오라클 10g 구조=33,92,1

그림1-3-1. K*Grid 테스트베드 현황(국내)=44,103,1

그림1-3-2. KMI(K*Grid Middleware Initiative) 구조=46,105,1

그림1-4-1. K*Grid 프로젝트 전략 흐름도(I)=52,111,1

그림1-4-2. K*Grid 프로젝트 전략 흐름도(II)=53,112,1

그림1-4-3. 그리드 프로젝트 간 국제 협력 구조=53,112,1

그림2-2-1. K*Grid 테스트베드 현재 상황=56,115,1

그림2-2-2. 게이트웨이 서버를 통한 K*Grid 테스트베드 접근=58,117,1

그림2-2-3. K*Grid 테스트베드 홈페이지=59,118,1

그림2-2-4. Q/A 게시판=59,118,1

그림2-2-5. Ganglia를 이용한 K*Grid 테스트베드 모니터링=60,119,1

그림2-2-6. Production-Level KISTI 그리드 CA=61,120,1

그림2-2-7. KISTI 그리드 CA의 인증서 발급 현황=61,120,1

그림2-2-8. K*Grid 서비스 상태 검사 시스템=62,121,1

그림2-2-9. KISTI 자원 모니터링=64,123,1

그림2-2-10. 두 개의 리눅스 클러스터간 cpi 실행=67,126,1

그림2-2-11. 2dheat_mpi 실행을 위한 RSL 파일=68,127,1

그림2-2-12. Tecplot을 사용한 2dheat_mpi 실행의 가시화 화면=68,127,1

그림2-2-13. 슈퍼컴퓨터-리눅스 클러스터간 cpi 실행을 위한 RSL 파일=69,128,1

그림2-2-14. 슈퍼컴퓨터-리눅스 클러스터간 cpi 실행의 결과=69,128,1

그림2-2-15. 동명정보대 자원 모니터링=73,132,1

그림2-2-16. 전북대 자원 모니터링=77,136,1

그림2-2-17. 서울대의 그리드 전환 S/W 설치 현황=83,142,1

그림2-2-18. 서울대의 GridSphere 설치=84,143,1

그림2-2-19. KISTI 그리드 테스트베드의 구조=87,146,1

그림2-2-20. KISTI 그리드 테스트베드 자원 모니터링(Venus)=89,148,1

그림2-2-21. KISTI 그리드 테스트베드 자원 모니터링(Jupiter)=90,149,1

그림2-2-22. 포항공대 리눅스 클러스터 구축=92,151,1

그림2-2-23. RSL 문법에 MPI_FLAC옵션 확장=100,159,1

그림2-2-24. RSL 파일을 사용한 PBS 작업 스크립트 생성=100,159,1

그림2-2-25. 서울시립대 자원 모니터링=103,162,1

그림2-2-26. 건국대 자원 모니터링=108,167,1

그림2-2-27. KISTI-건국대간 람다 네트웍 상의 그리드 응용 성능 평가를 위한 실험 구성도=110,169,1

그림2-2-28. 한국정보통신대학교 자원 모니터링=112,171,1

그림2-2-29. 한국과학기술원 자원 모니터링=114,173,1

그림2-2-30. 일반 Q/A 게시판=115,174,1

그림2-2-31. 자원제공기관 Q/A 게시판=116,175,1

그림2-2-32. 위탁과제연구자 Q/A 게시판=116,175,1

그림2-3-1. 테스트베드 클러스터 사진 Solar(왼쪽 위), Nova(오른쪽 위), Eros(왼쪽 아래), Vega(오른쪽 아래)=147,206,1

그림2-3-2. 클러스터간 라우팅 경로=149,208,1

그림2-3-3. 테스트베드 모니터닝 웹 페이지=150,209,1

그림2-3-4. 그리드 테스트베드의 Ganglia 모니터링=150,209,1

그림2-4-1. PRAGMA 테스트베드 자원 모니터링=152,211,1

그림2-4-2. PRAGMA 테스트베드 홈페이지=152,211,1

그림2-4-3. KISTI-GridLab간 테스트베드 연동(1)=153,212,1

그림2-4-4. KISTI-GridLab간 테스트베드 연동(2)=153,212,1

그림2-4-5. SC2003을 위한 계산 그리드 테스트베드 구성=153,212,1

그림2-4-6. SC2003 HPC Challenge 수상=153,212,1

그림3-1-1. KMI 구조=155,214,1

그림3-1-2. MoreDream 구조=156,215,1

그림3-1-3. KMI 테스트베드=159,218,1

그림3-2-1. GRASP 구조=162,221,1

그림3-2-2. 작업 제출 과정=163,222,1

그림3-2-3. MPI 작업 초기화 과정=165,224,1

그림3-2-4. 파일 기반 MPI 초기화를 위한 파일 형식=165,224,1

그림3-2-5. 작업 속성과 자원 속성을 동시에 가지고 있는 JRDL=167,226,1

그림3-2-6. 실행 파일에 관한 속성=168,227,1

그림3-2-7. SubsTITuionRef Element를 사용하고 있는 실행 파일에 관한 속성=168,227,1

그림3-2-8. 지역 자원에 관해 명시한 작업 할당 속성들=170,229,1

그림3-2-9. 각 하위 작업에 관해서 다른 작업 속성을 가진 경우=171,230,1

그림3-2-10. 지역 자원 할당과 실행 과정=172,231,1

그림3-2-11. HTC 작업 과정=173,232,1

그림3-2-12. HTC 작업에서의 파일 이동=174,233,1

그림3-2-13. HPC 작업 과정=174,233,1

그림3-2-14. JMS 요청 형식=175,234,1

그림3-2-15. SRB 서버를 통한 데이터 그리드 테스트 베드=177,236,1

그림3-2-16. SRB에 데이터를 저장하고 GAIS에 의해 정보가 제공하는 부분=177,236,1

그림3-2-17. RMS에서의 SRB Enabled Globus-Url-Copy를 통한 파일 스테이지 인=178,237,1

그림3-2-18. 자원예약에 필요한 정보들=179,238,1

그림3-2-19. 예약 상태의 변화=180,239,1

그림3-2-20. 시간에 따른 예약 상태의 변화=180,239,1

그림3-2-21. 자원 예약 서비스 구조=181,240,1

그림3-2-22. 예약 상태의 모니터링=189,248,1

그림3-2-23. 예약된 항목의 나열=189,248,1

그림3-2-24. EDG 구조 및 작업 실행 시나리오=199,258,1

그림3-2-25. GRMS 구조=201,260,1

그림3-2-26. CSF 구조=203,262,1

그림3-2-27. 그리드 스케쥴링 서비스 구조=205,264,1

그림3-2-28. 그리드 스케쥴링 서비스의 예약 결과에 따른 처리과정=208,267,1

그림3-2-29. DAG 모델 예제=212,271,1

그림3-2-30. DAG 모델 예제=213,272,1

그림3-2-31. HEFT 스케쥴링 알고리즘=216,275,1

그림3-2-32. 알고리즘과 다른 스케쥴링 알고리즘들과의 성능 비교=218,277,1

그림3-2-33. HEFT 알고리즘의 문제점에 대한 예제=220,279,1

그림3-2-34. Pull 알고리즘의 원리 설명=222,281,1

그림3-2-35. 한 프로세서에서 Hole 합 계산 그림=223,282,1

그림3-2-36. Push 알고리즘 동작 원리 설명=225,284,1

그림3-2-37. 돌연변이 연산=226,285,1

그림3-2-38. Push-Pull 알고리즘의 Simgrid 시뮬레이션 결과=227,286,1

그림3-2-39. 태스크 상태 천이 과정=228,287,1

그림3-2-40. DAG의 도적 변화 과정=229,288,1

그림3-2-41. 통합된 APST 툴 킷의 동작 과정=233,292,1

그림3-2-42. DAG 예제=233,292,1

그림3-3-1. MDS 서비스 구조=237,296,1

그림3-3-2. GT3.x에서의 MDS3 구조=240,299,1

그림3-3-3. GAIS 전체 구조=245,304,1

그림3-3-4. VO 구축 과정=246,305,1

그림3-3-5. 사용자의 쿼리 과정=247,306,1

그림3-3-6. DCS 구조도=247,306,1

그림3-3-7. GDS 구조도=248,307,1

그림3-3-8. VSS 구조도=249,308,1

그림3-3-9. VQS 구조도=249,308,1

그림3-3-10. GAIS MCE 정보 스키마=250,309,1

그림3-3-11. GAIS MSE 정보 스키마=252,311,1

그림3-3-12. VQS 설정 과정=254,313,1

그림3-3-13. 자원 정보 리스트=254,313,1

그림3-3-14. 자원 정보 Inspenction=254,313,1

그림3-3-15. 그리드 서비스 리스트=255,314,1

그림3-3-16. 서비스데이터 및 WSDL=255,314,1

그림3-3-17. SRB 리플리카=255,314,1

그림3-3-18. SRB 리플리카 Inspection=255,314,1

그림3-3-19. Bio VO 전체 구조도=268,327,1

그림3-4-1. MPICH-GX 구조=271,330,1

그림3-4-2. 암호 에이전트 메커니즘=274,333,1

그림3-4-3. ASIC 알고리즘 흐름도=276,335,1

그림3-4-4. (1) 전형적인 클러스터 구조도와 MPI 절차 (2) MPICH-G2 절차=277,336,1

그림3-4-5. MPICH-G2를 사용한 MPI 절차=278,337,1

그림3-4-6. MPICH-GP 구조도=282,341,1

그림3-4-7. 연결 통로 결정 알고리즘=283,342,1

그림3-4-8. MPICH-GP상에서의 두 사설 IP 클러스터 간의 통신 방법=284,343,1

그림3-4-9. MPICH-GP에서의 공인 IP와 사설 IP 클러스터간의 통신 방법=285,344,1

그림3-4-10. 지역 작업 매니저의 상태 다이어그램=287,346,1

그림3-4-11. MPI 프로세스 결함 감지=288,347,1

그림3-4-12. MPI 프로세스 결함 복구=290,349,1

그림3-4-13. MPI 프로세스 결함 전달=291,350,1

그림3-4-14. 지역 관리자의 결함 탐지와 복구 과정=293,352,1

그림3-4-15. 노드 결함 복구 과정=294,353,1

그림3-4-16. 노드 결함 복구 과정=295,354,1

그림3-5-1. 그리드 사용자 정보 서비스 구조=300,359,1

그림3-5-2. GRAM 구성 요소=300,359,1

그림3-5-3. Grid-Mapfile 예제=301,360,1

그림3-5-4. PGAM 기능=302,361,1

그림3-5-5. CAS 인증 절차=303,362,1

그림3-5-6. CAS Server에 의해 작성된 인증서의 간략 보기=303,362,1

그림3-5-7. CAS vs. VOMS=304,363,1

그림3-5-8. 그리드 어카운트 관리 시스템 기능들=305,364,1

그림3-5-9. CAS를 통한 그리드 뱅킹 서비스=307,366,1

그림3-5-10. 빌링 서비스를 위한 데이타베이스=308,367,1

그림3-5-11. 그리드 어카운팅 정보 서비스=310,369,1

그림3-5-12. 변환을 위한 바인딩 정보=311,370,1

그림3-5-14. LLUsageTracker.conf 예제 파일=313,372,1

그림3-5-15. LL_job와 Struct Rusage64=315,374,1

그림3-5-16. UR-WG 스키마에 따라 변환된 작업 레코드 예제=320,379,1

그림3-5-17. 어카운팅 데이터베이스 테이블=321,380,1

그림3-5-18. 그리드 어카운팅 서비스 예제 코드=322,381,1

그림3-5-19. QueryField 클래스=323,382,1

그림3-5-20. 차트 형식의 사용자 어카운팅 정보=324,383,1

그림3-5-21. 차트 형식의 자원 어카운팅 정보=325,384,1

그림3-6-1. KGridCA 시스템 구조=328,387,1

그림3-6-2. KISTI Grid CA 홈페이지=329,388,1

그림3-6-3. KISTI Grid CA 홈페이지(계속)=330,389,1

그림3-6-4. CSR 업로드=330,389,1

그림3-6-5. CSR 상태 흐름도=331,390,1

그림3-6-6. 인증서 상태 흐름도=331,390,1

그림3-6-7. CRL 내용=332,391,1

그림3-6-8. KISTI GRID ROOT CA=332,391,2

그림3-6-9. KMI 홈페이지 상에서의 KGridCA 소프트웨어 배포=334,393,1

그림3-7-1. GPDK 구조=337,396,1

그림3-7-2. GridPort 3.0 구조=337,396,1

그림3-7-3. Gridsphere 구조=338,397,1

그림3-7-4. 포틀릿 생명주기=339,398,1

그림3-7-5. Jetspeed를 이용한 그리드 포탈의 웹 어플리케이션 구조=341,400,1

그림3-7-6. Jetspeed를 이용한 그리드 포탈의 구조=342,401,1

그림3-7-7. 유전자 분석 작업의 워크플로우=343,402,1

그림3-7-8. 유전자 데이터를 중첩하여 조각내기=343,402,1

그림3-7-9. Gridsphere-KMI 포탈의 메인 페이지=348,407,1

그림3-7-10. Gridsphere-KMI 포탈의 메인 페이지=351,410,1

그림3-7-11. BI 그리드 포탈의 구조=353,412,1

그림3-7-12. BI 그리드 포탈의 작업제출 화면=356,415,1

그림3-7-13. 작업 해석=357,416,1

그림3-7-14. OpenMolGRID 구조=361,420,1

그림3-7-15. Task 정의 화면=362,421,1

그림3-7-16. Script 정의=363,422,1

그림3-7-17. Repository 정의=364,423,1

그림3-7-18. 실행 순서 정의=364,423,1

그림3-7-19. 데이터 의존성 정의=365,424,1

그림3-7-20. 자원 추천=366,425,1

그림3-7-21. 포탈 레이아울=367,426,1

그림3-7-22. 작업 공간=368,427,1

그림3-7-23. 프로젝트 생성=369,428,1

그림3-7-24. 프로젝트 수정=369,428,1

그림3-7-25. 프로젝트=369,428,1

그림3-7-26. 작업 배열 생성 -1=370,429,1

그림3-7-27. 작업 배열 생성 -2=370,429,1

그림3-7-28. Favorite=371,430,1

그림3-7-29. 작업 배열=371,430,1

그림3-7-30. 작업 복사 범위=371,430,1

그림3-7-31. Job 인터페이스=372,431,1

그림3-7-32. DAG 인터페이스=373,432,1

그림3-7-33. Task 인터페이스=373,432,1

그림3-7-34. 실행 인터페이스=374,433,1

그림4-1-1. Storage and Search API 내부 구조=381,440,1

그림4-1-2. 바이오인포매틱스 그리드 어플리케이션 정보를 저장하기 위한 Save_Service API 예제=386,445,1

그림4-1-3. XMLToClass 프로토타입=388,447,1

그림4-1-4. ClassToXML 프로토타입=388,447,1

그림4-1-5. DispositionReport 구조=392,451,1

그림4-1-6. 성공적인 API 수행 후에 반환된 데이터 예제=392,451,1

그림4-1-7. 실패한 API 수행 후에 반환된 데이터 예제=393,452,1

그림4-1-8. Fine_Service API를 사용해서 바이오인포매틱스 그리드 어플리케이션 정보를 검색하기 위한 요청 예제=395,454,1

그림4-1-9. Fine_Service API를 사용해서 바이오인포매틱스 그리드 어플리케이션 정보를 검색하기 위한 결과 예제=397,456,1

그림4-1-10. Get_ServiceDetail API를 사용해서 바이오인포매틱스 그리드 어플리케이션 정보를 검색하기 위한 요청 예제=398,457,1

그림4-1-11. Get_ServiceDetail API를 사용해서 바이오인포매틱스 그리드 어플리케이션 정보를 검색하기 위한 결과 예제=398,457,1

그림4-1-12. 웹서비스에 기반한 UDDI 데이터를 저장하고 검색하기 위한 확장된 기능 구조=400,459,1

그림4-1-13. Fine Qualifier와 Categorical Information를 수반한 Find_Service API를 사용해서 바이오인포매틱스 그리드 어플리케이션 정보를 검색하기 위한 요청 예제=401,460,1

그림4-1-14. EsactMatch의 tModel=403,462,1

그림4-1-15. KeyedReferenceGroup 예제=405,464,1

그림4-1-16. 쿼리 조건으로 ApproxirnateMatch와 정렬 조건으로 SortbyDateAsc를 사용한 Fine_Service 예제=406,465,1

그림4-1-17. 퀴리와 정렬 조건을 저장하기 위한 UDDI 데이터 구조=408,467,1

그림4-1-18. 퀴리 조건으로 Find_tModel을 사용해서 바이오인포매틱스 그리드 어플러케이션을 검색하기 위한 Find_Service 예제=410,469,1

그림4-1-19. Save_Subscriptions 예제=411,470,1

그림4-1-20. 동기 Subscription 구조=415,474,1

그림4-1-21. 비동기 Subscription에서 수정된 UDDI 데이터를 공지하기 위한 요청을 등록하는 단계=416,475,1

그림4-1-22. 비동기 Subscription에서 수정된 UDDI 데이터를 공지하기 위한 요청을 처리하는 단계=417,476,1

그림4-2-1. 데이터 관리 시스템=423,482,1

그림4-2-2. Collective Read 작업=426,485,1

그림4-2-3. Lustre Storage 구조=427,486,1

그림4-2-4. GEDAS 구조=428,487,1

그림4-2-5. 원격 시스템에 데이터를 생성하기 위한 API=429,488,1

그림4-2-6. 원격지 데이터 공유를 위한 API=430,489,1

그림4-2-7. GEDAS 원격지 데이터 접근 절차=431,490,1

그림4-2-8. GEDAS 고성능 I/O=432,491,1

그림4-2-9. Independent File 레이아웃=436,495,1

그림4-2-10. Intermediate File 레이아웃=437,496,1

그림4-2-11. Long-Length File 레이아웃=438,497,1

그림4-2-12. GEDAS APT=439,498,1

그림4-2-13. GEDAS 데이터 통신 흐름도=440,499,1

그림4-2-14. GEDAS 원격지 데이터 접근 흐름도=441,500,1

그림4-2-15. GEDAS 원격지 데이터 저장 흐름도=441,500,1

그림4-2-16. GEDAS 메타데이타 통신 절차=442,501,1

그림4-2-17. GEDAS 원격지 메타데이터 접근 흐름도=442,501,1

그림4-3-1. 랙 재배치 전 상황=453,512,1

그림4-3-2. 랙 재배치 및 케이블링 후 상황=453,512,1

그림4-3-3. 클러스터 연결 케이블링 작업=454,513,1

그림4-3-4. 기가빗 스위치 설치=455,514,1

그림4-3-5. 클러스터실 모니터링 윈도우/디지털 온도계 모니터링 장치=456,515,1

그림4-3-6. 클러스터실 모니터링 시스템=456,515,1

그림4-3-7. 모니터링 카메라=457,516,1

그림4-3-8. 최상단 스위치 교체 후의 클러스터 구성=458,517,1

그림4-3-9. 최상단 스위치 교체 후의 클러스터실 구성(2)=458,517,1

그림4-3-10. 클러스터실 냉방장비 실외기=459,518,1

그림4-3-11. 클러스터실 냉방장비 실내기=460,519,1

그림4-3-12. KRocks 3.3.0 설치 화면=461,520,1

그림4-3-13. KRocks 3.2.0 설치 화면=462,521,1

그림4-3-14. Rocks' Roll의 배치=463,522,1

그림4-3-15. 한글화 요구 사항=465,524,1

그림4-3-16. GUI환경에서 아나콘다 실행 화면=467,526,1

그림4-3-17. TEXT환경에서 아나콘다 실행 화면=468,527,1

그림4-3-18. KRocks를 위한 MySQL 설정 변경=469,528,1

그림4-3-19. 한글화를 위한 Rhpl 설정 변경=471,530,1

그림4-3-20. UTF-8문자셋 변환=472,531,1

그림4-3-21. po파일 변경을 위한 한글 메세지들=472,531,1

그림4-3-22. GUI윈도우의 한글화=473,532,1

그림4-3-23. CTS의 구조=475,534,1

그림4-3-24. CTS의 테스팅 프로세스=476,535,1

그림4-3-25. CTS의 모듈별 시스템 구조=477,536,1

그림4-3-26. CTS의 데이터 흐름도=477,536,1

그림4-3-27. 초기화면=479,538,1

그림4-3-28. 메모리 테스트 결과=480,539,1

그림4-3-29. NIC 테스트 결과=481,540,1

그림4-3-30. 어카운팅 시스템 구조도=483,542,1

그림4-3-31. 텍스트기반 UI=484,543,1

그림4-3-32. Simple Accounting System의 UI=485,544,1

그림4-3-33. 사용자 계정별 사용 현황 예=485,544,1

그림4-3-34. 사용 현황별 사용자 리스트 예=485,544,1

그림5-1-1. Gird Forum Korea 홈페이지=498,557,1

그림5-2-1. APEC TEL APGrid 구상 모델=500,559,1

그림5-2-2. APGrid 워크숍 포스터=501,560,1

그림5-3-1. PRAGMA6=517,576,1

그림5-3-2. PRAGMA7=519,578,1

그림5-3-3. K*Grid관련 SC2004 패널=520,579,1

그림6-1-1. K*Grid 구축을 위한 구조=522,581,1

그림6-1-2. Grid Forum Korea 구조도=536,595,1

그림6-1-3. K*Grid 프로젝트 협력 구조=537,596,1

그림6-3-1. KMI 홈페이지 : http://kmi.moredream.org/=561,620,1

그림6-3-2. GRASP 흐름도=562,621,1

그림6-3-3. MoreDream에서의 그리드 정보 서비스 구조=563,622,1

그림6-3-4. 유전자 분석을 위한 흐름도=565,624,1

그림6-3-5. 바이오 응용 포탈 구조=566,625,1

Figure1-1-1. Plan For The K*Grid Implementation=1,60,1

Figure1-1-2. Concept Of The K*Grid Implementation=3,62,1

Figure1-1-3. Supercomputer-Centric Computational Grid=9,68,1

Figure1-1-4. Cluster-Centric Computational Grid=9,68,1

Figure1-1-5. Architecture Of KMI (K*Grid Middleware Initiative)=10,69,1

Figure1-2-1. Expected Grid Market=12,71,1

Figure1-2-2. Outline Of Teragrid=15,74,1

Figure1-2-3. Systems Involved In HPC Research Grid=16,75,1

Figure1-2-4. Business Solution Layers=24,83,1

Figure1-2-5. On-Demand Grid Solution Approach=25,84,1

Figure1-2-6. Grid Solution Architecture=26,85,1

Figure1-2-7. Hub-Style Grid Solution Approach=27,86,1

Figure1-2-8. Adaptive Enterprise Strategy Of HP=28,87,1

Figure1-2-9. Planetary Computing Roadmap Of HP=29,88,1

Figure1-2-10. Grid Solution Stack Of HP=29,88,1

Figure1-2-11. Oracle 10g Structure (Provided By Oracle)=33,92,1

Figure1-3-1. K*Grid Testbed Current Status (Domestic)=44,103,1

Figure1-3-2. Architecture Of KMI (K*Grid Middleware Initiative)=46,105,1

Figure1-4-1. Strategy Flow Of K*Grid Project (I)=52,111,1

Figure1-4-2. Strategy Flow Of K*Grid Project (II)=53,112,1

Figure1-4-3. Structure Of International Collaborations Between Grid Projects=53,112,1

Figure2-2-1. K*Grid Testbed Current Status=56,115,1

Figure2-2-2. K*Grid Testbed Access Using Gateway Server=58,117,1

Figure2-2-3. K*Grid Testbed Homepage=59,118,1

Figure2-2-4. Q/A Bulletin Board On The K*Grid Testbed Homepage=59,118,1

Figure2-2-5. K*Grid Testbed Monitoring Using Ganglia=60,119,1

Figure2-2-6. Production-Level KISTI Grid CA=61,120,1

Figure2-2-7. Certificate List On The KISTI Grid CA=61,120,1

Figure2-2-8. K*Grid Service Status Test=62,121,1

Figure2-2-9. Resource Monitoring On KISTI Supercomputer=64,123,1

Figure2-2-10. Cpi Execution Between Two GNU/Linux Clusters=67,126,1

Figure2-2-11. RSL File For 2dheat_Mpi Execution=68,127,1

Figure2-2-12. Visualization Of 2dheat_Mpi Execution Result Using Tecplot=68,127,1

Figure2-2-13. RSL File For Cpi Execution Between Supercomputer And GNU/Linux Cluster=69,128,1

Figure2-2-14. Result Of Cpi Execution Between Supercomputer And GNU/Linux Cluster=69,128,1

Figure2-2-15. Resource Monitoring On TIT Supercomputer=73,132,1

Figure2-2-16. Resource Monitoring On CBNU Supercomputer=77,136,1

Figure2-2-17. S/W Installation For The Grid Testbed On SNU Supercomputer=83,142,1

Figure2-2-18. Gridsphere Installation On SNU Supercomputer=84,143,1

Figure2-2-19. Architecture Of KISTI Grid Testbed=87,146,1

Figure2-2-20. Resource Monitoring On KISTI Grid Testbed(Venus)=89,148,1

Figure2-2-21. Resource Monitoring On KISTI Grid Testbed(Jupiter)=90,149,1

Figure2-2-22. Construction Of POSTECH GNU/Linux Cluster=92,151,1

Figure2-2-23. Addition Of MPI_FLAG Option On RSL Syntax=100,159,1

Figure2-2-24. Generation Of PBS Job Script Using RSL File=100,159,1

Figure2-2-25. Resource Monitoring On UOS GNU/Linux Cluster=103,162,1

Figure2-2-26. Resource Monitoring On Konkuk GNU/Linux Cluster=108,167,1

Figure2-2-27. Grid Application Performance Evaluation Based On Lambda Network Between KISTI And Konkuk Link=110,169,1

Figure2-2-28. Resource Monitoring On ICU GNU/Linux Cluster=112,171,1

Figure2-2-29. Resource Monitoring On KAIST GNU/Linux Cluster=114,173,1

Figure2-2-30. General Q/A Bulletin Board On K*Grid Testbed Homepage=115,174,1

Figure2-2-31. Resource Provider Q/A Bulletin Board=116,175,1

Figure2-2-32. K*Grid Researcher Q/A Bulletin Board=116,175,1

Figure2-3-1. Pictures Of Testbed Clusters. Solar(Top Left), Nova(Top Right), Eros(Bottom Left), Vega(Bottom Right)=147,206,1

Figure2-3-2. Routing Path Among Clusters=149,208,1

Figure2-3-3. An Web Page For Monitoring Testbed=150,209,1

Figure2-3-4. Ganglia Monitoring Of The Grid Testbed=150,209,1

Figure2-4-1. Resource Monitoring On PRAGMA Testbed=152,211,1

Figure2-4-2. PRAGMA Testbed Homepage=152,211,1

Figure2-4-3. Grid Testbed Collaboration Between KISTI And Gridlab(1)=153,212,1

Figure2-4-4. Grid Testbed Collaboration Between KISTIi And Gridlab(2)=153,212,1

Figure2-4-5. Computational Grid Testbed For SC2003=153,212,1

Figure2-4-6. SC2003 HPC Challenge Award=153,212,1

Figure3-1-1. Architecture Of KMI=155,214,1

Figure3-1-2. Architecture Of MoreDream=156,215,1

Figure3-1-3. KMI Testbed=159,218,1

Figure3-2-1. GRASP Architecture=162,221,1

Figure3-2-2. Job Submission Process=163,222,1

Figure3-2-3. Initialization Of MPI Job=165,224,1

Figure3-2-4. File Format For File-Based MPI Initialization=165,224,1

Figure3-2-5. Job Specification And Resource Specification Of JRDL=167,226,1

Figure3-2-6. Expression For ExecuTable=168,227,1

Figure3-2-7. Expression For ExecuTable Using Substituionref Element=168,227,1

Figure3-2-8. Expression For Job Submission Where The Resource Is Specified=170,229,1

Figure3-2-9. Expression For Job Submission Where A Subjob Has Different Condition Than Others=171,230,1

Figure3-2-10. Local Resource Allocation And Execution Process=172,231,1

Figure3-2-11. HTC Job Processing=173,232,1

Figure3-2-12. File Transfer In HTC Job=174,233,1

Figure3-2-13. HPC Job Processing=174,233,1

Figure3-2-14. JMS Request Format=175,234,1

Figure3-2-15. Data Grid Testbed Using SRB Servers=177,236,1

Figure3-2-16. Management Of Data In Data Grid=177,236,1

Figure3-2-17. Stage In Files Via Srb Enabled Globus-Url-Copy At RMS=178,237,1

Figure3-2-18. Parameters For Resource Reservation=179,238,1

Figure3-2-19. Reservation States=180,239,1

Figure3-2-20. Transition Of Reservation States=180,239,1

Figure3-2-21. Resource Reservation Service Architecture=181,240,1

Figure3-2-22. Reservation Monitoring=189,248,1

Figure3-2-23. List Of Reservation=189,248,1

Figure3-2-24. EDG Architecture And Job Handling Scenario=199,258,1

Figure3-2-25. GRMS Architecture=201,260,1

Figure3-2-26. CSF Architecture=203,262,1

Figure3-2-27. Grid Scheduling Service Architecture=205,264,1

Figure3-2-28. Control Flow In Grid Scheduling Service=208,267,1

Figure3-2-29. DAG Model Example=212,271,1

Figure3-2-30. Grid Model Example=213,272,1

Figure3-2-31. HEFT Scheduling Algorithm=216,275,1

Figure3-2-32. Performance Comparison Between HEFT Algorithm And Other Algorithms(6)=218,277,1

Figure3-2-33. Example Of The Problem Of HEFT Algorithm=220,279,1

Figure3-2-34. Principle Of Pull Algorithm=222,281,1

Figure3-2-35. Sum Of Holes On A Processor=223,282,1

Figure3-2-36. Principle Of Push Algorithm=225,284,1

Figure3-2-37. Mutation Operation=226,285,1

Figure3-2-38. Simgrid Simulation Result Of Push-Pull Algorithm=227,286,1

Figure3-2-39. Transition Of Task Status=228,287,1

Figure3-2-40. Dynamic Transition Of DAG=229,288,1

Figure3-2-41. Operations Of Integrated APST Toolkit=233,292,1

Figure3-2-42. DAG Example=233,292,1

Figure3-3-1. MDS Service Architecture=237,296,1

Figure3-3-2. Structure Of MDS3 In GT3.x=240,299,1

Figure3-3-3. GAIS Architecture=245,304,1

Figure3-3-4. VO Construction=246,305,1

Figure3-3-5. User's Query=247,306,1

Figure3-3-6. DCS Architecture=247,306,1

Figure3-3-7. GDS Architecture=248,307,1

Figure3-3-8. VSS Architecture=249,308,1

Figure3-3-9. VQS Architecture=249,308,1

Figure3-3-10. GAIS MCE Information Schema=250,309,1

Figure3-3-11. GAIS MSE Information Schema=252,311,1

Figure3-3-12. VQS Configuration=254,313,1

Figure3-3-13. Resource Information List=254,313,1

Figure3-3-14. Resource Information Inspection=254,313,1

Figure3-3-15. Grid Service List=255,314,1

Figure3-3-16. ServiceData And WSDL=255,314,1

Figure3-3-17. SRB Replica List=255,314,1

Figure3-3-18. SRB Replica Inspection=255,314,1

Figure3-3-19. Bio VO Structure=268,327,1

Figure3-4-1. MPICH -GX Structure=271,330,1

Figure3-4-2. Security Agent Operation Mechanism=274,333,1

Figure3-4-3. The ASIC Algorithm Flow Chart=276,335,1

Figure3-4-4. (1) Typical Cluster Configuration & Its Mpi Procedure (2) jMPICH-G2 Procedure On Globus Enabled Cluster=277,336,1

Figure3-4-5. MPI Procedure On Coupled Clusters Using MPICH-G2 On Globush=278,337,1

Figure3-4-6. MPICH-GP Architecture & Run Process=282,341,1

Figure3-4-7. Connection Path Decision Algorithm=283,342,1

Figure3-4-8. Communication Path In Two Private Ip Clusters In MPICH-GP=284,343,1

Figure3-4-9. Communication Path Between Private IP Cluster And Public IP Cluster In MPICH-GP=285,344,1

Figure3-4-10. Local Job Manager State Transition Diagram=287,346,1

Figure3-4-11. Mpi Process Falut Detection=288,347,1

Figure3-4-12. MPI Process Fault Recovery=290,349,1

Figure3-4-13. MPI Process Falut Transmission=291,350,1

Figure3-4-14. Local Job Manager Falut Detection And Recovery Procedure=293,352,1

Figure3-4-15. Node Failure Detection Procedure=294,353,1

Figure3-4-16. Node Failure Recovery Procedure=295,354,1

Figure3-5-1. Architecture Of Grid User Information Service=300,359,1

Figure3-5-2. Components Of GRAM=300,359,1

Figure3-5-3. An Example Of Grid-Mapfile=301,360,1

Figure3-5-4. Function Of PGAM=302,361,1

Figure3-5-5. Steps For Authorization In CAS=303,362,1

Figure3-5-6. A Simplified View Of Certificate Generated By CAS Server=303,362,1

Figure3-5-7. CAS Vs. VOMS=304,363,1

Figure3-5-8. Functions Of Grid Account Management System=305,364,1

Figure3-5-9. Grid Banking Service With CAS=307,366,1

Figure3-5-10. Database For Billing Service=308,367,1

Figure3-5-11. Grid Accounting Information Service=310,369,1

Figure3-5-12. Use Of Bind Information Makes Transformation Of Local Accounting Information To Grid Accounting Information=311,370,1

Figure3-5-13. An Architecture Of Grid Accounting Information Gathering System For LoadLeveler's Job Accounting Information=313,372,1

Figure3-5-14. An Example Of LLUsageTracker.Conf=313,372,1

Figure3-5-15. LL_Job And Struct Rusage64=315,374,1

Figure3-5-16. An Example Of Transformed Job Record Following UR-WG Schema=320,379,1

Figure3-5-17. Tables In The Accounting Database=321,380,1

Figure3-5-18. A Sample Code For Grid Accounting Service Client=322,381,1

Figure3-5-19. Class Query Field=323,382,1

Figure3-5-20. User's Accounting Information View With Chart=324,383,1

Figure3-5-21. Machine's Accounting Information View With Chart=325,384,1

Figure3-6-1. System Architecture Of KGridCA=328,387,1

Figure3-6-2. KISTI Grid CA Homepage=329,388,1

Figure3-6-3. KISTI Grid CA Homepage(Cont.)=330,389,1

Figure3-6-4. Upload Of Certificate Siging Request=330,389,1

Figure3-6-5. Status Flow Of A CSR=331,390,1

Figure3-6-6. Status Flow Of A Certificate=331,390,1

Figure3-6-7. Content Of CRL=332,391,1

Figure3-6-8. KISTI Grid Root CA=332,391,2

Figure3-6-9. KGridCA Software Distribution In KMI Homepage=334,393,1

Figure3-7-1. GPDK Architecture=337,396,1

Figure3-7-2. GirdPort 3.0 Architecture=337,396,1

Figure3-7-3. Gridsphere Architecture=338,397,1

Figure3-7-4. Portlet Lifecycle=339,398,1

Figure3-7-5. Web Application Architecture Of Grid Portal Using Jetspeed Framework=341,400,1

Figure3-7-6. Grid Portal Architecture Using Jetspeed Framework=342,401,1

Figure3-7-7. Workflow Of Genetic Analysis Job=343,402,1

Figure3-7-8. Fragmenting Genetic Data Overlapping=343,402,1

Figure3-7-9. Gridsphere-KMI Portal Main Page=348,407,1

Figure3-7-10. Gridsphere-KMI Portal Main Page=351,410,1

Figure3-7-11. The Architecture Of Grid Portal For BI Application=353,412,1

Figure3-7-12. Job Submission Page At Grid Portal For BI Application=356,415,1

Figure3-7-13. Job Translation=357,416,1

Figure3-7-14. OpenMolGRID Architecture=361,420,1

Figure3-7-15. Task Definition Frame=362,421,1

Figure3-7-16. Script Definition=363,422,1

Figure3-7-17. Repository Definition=364,423,1

Figure3-7-18. Execution Order Definition=364,423,1

Figure3-7-19. Data Dependency Definition=365,424,1

Figure3-7-20. Resource Recommendation=366,425,1

Figure3-7-21. Portal Layout=367,426,1

Figure3-7-22. WorkSpace=368,427,1

Figure3-7-23. Project Creation=369,428,1

Figure3-7-24. Project Edit=369,428,1

Figure3-7-25. Project=369,428,1

Figure3-7-26. Job Array Creation-1=370,429,1

Figure3-7-27. Job Array Creation-2=370,429,1

Figure3-7-28. Favorite=371,430,1

Figure3-7-29. Job Array=371,430,1

Figure3-7-30. Range Job Copy=371,430,1

Figure3-7-31. Job Interface=372,431,1

Figure3-7-32. DAG Interface=373,432,1

Figure3-7-33. Task Interface=373,432,1

Figure3-7-34. Execution Interface=374,433,1

Figure4-1-1. Internal Structure Of Storage And Search APIs=381,440,1

Figure4-1-2. An Example Of Save_Service API For Storing Information Of The Bioinformatics Gird Application=386,445,1

Figure4-1-3. The Prototype Of XMLToClass=388,447,1

Figure4-1-4. The Prototype Of ClassToXML=388,447,1

Figure4-1-5. The Structure Of DispositionReport=392,451,1

Figure4-1-6. An Example Of The Returned Data After Successful API Execution=392,451,1

Figure4-1-7. An Example Of The Returned Data After Failed API Execution=393,452,1

Figure4-1-8. An Example Of A Request For Searching Information Of Bioinformatics Gird Application Using Find_Service API=395,454,1

Figure4-1-9. An Example Of The Result For Searching Information Of Bioinformatics Grid Applications Using Find_Service API=397,456,1

Figure4-1-10. An Example Of A Request For Searching Information Of Bioinformatics Gird Application Using Get_ServiceDetail API=398,457,1

Figure4-1-11. An Example Of The Result For Searching Information Of Bioinformatics Gird Application Using Get_ServiceDetail API=398,457,1

Figure4-1-12. The Structure Of Extened Functions For Storing And Searching The UDDI Data Based On Web Service=400,459,1

Figure4-1-13. An Example Of A Request For Searching Information Of Bioinformatics Gird Application Using Find_Service API Accompanied With Find Qualifier And Categorical Information=401,460,1

Figure4-1-14. The tModel Of ExactMatch=403,462,1

Figure4-1-15. An Example Of KeyedReferenceGroup=405,464,1

Figure4-1-16. An Example Of Find_Service Using ApproximateMatch As A Query Condition And SortbyDateAsc As A Sort Condition=406,465,1

Figure4-1-17. The UDDI Data Structure For Storing Query And Sort Conditions=408,467,1

Figure4-1-18. An Example Of Find_Service For Searching Bioinformatics Grid Application Using Find_tModel As A Query Condition=410,469,1

Figure4-1-19. An Example Of Save_Subscriptions=411,470,1

Figure4-1-20. The Structure Of Svnchronous Subscription=415,474,1

Figure4-1-21. The Phase Of Registering Request For Notifying The Modified UDDI Data In The Asynchronous Subscription=416,475,1

Figure4-1-22. The Phase Of Processing Request For Notifying The Modified UDDI Data In The Asynchronous Subscription=417,476,1

Figure4-2-1. Data Management System=423,482,1

Figure4-2-2. Collective Read Operation=426,485,1

Figure4-2-3. Lustre Storage Architecture=427,486,1

Figure4-2-4. GEDAS Architecture=428,487,1

Figure4-2-5. API For Generating Data In Remote System=429,488,1

Figure4-2-6. API For Sharing Remote Data=430,489,1

Figure4-2-7. GEDAS Remote Data Access Steps=431,490,1

Figure4-2-8. GEDAS High-Performance I/O=432,491,1

Figure4-2-9. Independent File Layout=436,495,1

Figure4-2-10. Intermediate File Layout=437,496,1

Figure4-2-11. Long-Length File Layout=438,497,1

Figure4-2-12. GEDAS API=439,498,1

Figure4-2-13. Steps For GEDAS Data Communication=440,499,1

Figure4-2-14. GEDAS Remote Data Access Flow=441,500,1

Figure4-2-15. GEDAS Remote Data Store Flow=441,500,1

Figure4-2-16. Steps For GEDAS Metadata Communication=442,501,1

Figure4-2-17. GEDAS Remote Metadata Access Flow=442,501,1

Figure4-3-1. Before Rack Relocation=453,512,1

Figure4-3-2. After Rack Relocation & Cabling=453,512,1

Figure4-3-3. Cluster Connection Recabling=454,513,1

Figure4-3-4. Gbit Switch Installation=455,514,1

Figure4-3-5. Cluster Grid System Monitoring Window/Digital Temperature Monitoring Device=456,515,1

Figure4-3-6. Cluster System Operation Environment Monitoring System=456,515,1

Figure4-3-7. Monitoring Camera=457,516,1

Figure4-3-8. Configuration After The Top Level Switch Replacement=458,517,1

Figure4-3-9. Diagram After The Replacement Of The Top Level Switch=458,517,1

Figure4-3-10. Outer Module For Testbed Temperature Conditioning=459,518,1

Figure4-3-11. Inner Module For Testbed Temperature Conditioning=460,519,1

Figure4-3-12. KRocks 3.3.0 Installation Screen=461,520,1

Figure4-3-13. KRocks 3.2.0 Installation Screen=462,521,1

Figure4-3-14. Placement Of Rocks' Roll=463,522,1

Figure4-3-15. Requirements For Hangul Localization=465,524,1

Figure4-3-16. Anaconda In GUI Mode=467,526,1

Figure4-3-17. Anaconda In Text Mode=468,527,1

Figure4-3-18. MySQL Configuration Change For KRocks=469,528,1

Figure4-3-19. Rhpl Configuration Change For Localization=471,530,1

Figure4-3-20. Change For UTF-8 Character Set=472,531,1

Figure4-3-21. Hangul Messages For Po File Change=472,531,1

Figure4-3-22. Localization Of GUI Windows=473,532,1

Figure4-3-23. Structure Of CTS=475,534,1

Figure4-3-24. Testing Process=476,535,1

Figure4-3-25. System Structure In Module View=477,536,1

Figure4-3-26. Data Flow In System=477,536,1

Figure4-3-27. Initial Screen Of CTS=479,538,1

Figure4-3-28. Memory Test Results=480,539,1

Figure4-3-29. NIC Test Results=481,540,1

Figure4-3-30. Accounting System Structure=483,542,1

Figure4-3-31. Text-Based UI=484,543,1

Figure4-3-32. UI Of Simple Accounting System=485,544,1

Figure4-3-33. Usage List Example Per Account=485,544,1

Figure4-3-34. User List Example In Usage Order=485,544,1

Figure5-1-1. Grid Forum Korea Homepage=498,557,1

Figure5-2-1. APEC TEL APGrid Conceptual Model=500,559,1

Figure5-2-2. APGrid Workshop Poster=501,560,1

Figure5-3-1. Pragma6=517,576,1

Figure5-3-2. Pragma7=519,578,1

Figure5-3-3. SC2004 Panel About K*Grid=520,579,1

Figure6-1-1. Structure Of K*Grid Implementation=522,581,1

Figure6-1-2. Structure Of Grid Forum Korea=536,595,1

Figure6-1-3. Collaboration Structure Of K*Grid Project=537,596,1

Figure6-3-1. KMI Homepage:http://kmi.moredream.org/=561,620,1

Figure6-3-2. Flow Chart Of GRASP=562,621,1

Figure6-3-3. Grid Information Service Architecture In MoreDream=563,622,1

Figure6-3-4. WorkFlow Of Genetic Analysis=565,624,1

Figure6-3-5. Architecure Of Bio Application Portal=566,625,1

jpg

Current Status Of K*Grid Testbed(Domestic)=0,6,1

Current Status Of K*Grid Testbed(Domestic)=0,15,1

Figure1-1-1. Plan For The K*Grid Implementation=1,60,1

Figure1-1-3. Supercomputer-Centric Computational Grid=9,68,1

Figure1-1-4. Cluster-Centric Computational Grid=9,68,1

Figure1-2-1. Expected Grid Market=12,71,1

Figure1-2-8. Adaptive Enterprise Strategy Of Hp=28,87,1

Figure1-3-1. K*Grid Testbed Current Status (Domestic)=44,103,1

Figure2-2-1. K*Grid Testbed Current Status=56,115,1

Figure2-2-5. K*Grid Testbed Monitoring Using Ganglia=60,119,1

Figure2-2-11. RSL File For 2dheat_Mpi Execution=68,127,1

Figure2-2-12. Visualization Of 2dheat_Mpi Execution Result Using Tecplot=68,127,1

Figure2-2-15. Resource Monitoring On TIT Supercomputer=73,132,1

Figure2-2-27. Grid Application Performance Evaluation Based On Lambda Network Between KISTI And Konkuk Link=110,169,1

Figure2-3-3. An Web Page For Monitoring Testbed=150,209,1

Figure2-3-4. Ganglia Monitoring Of The Grid Testbed=150,209,1

Figure2-4-1. Resource Monitoring On Pragma Testbed=152,211,1

Figure2-4-2. Pragma Testbed Homepage=152,211,1

Figure2-4-3. Grid Testbed Collaboration Between KISTI And GridLab(1)=153,212,1

Figure2-4-4. Grid Testbed Collaboration Between KISTI And GridLab(2)=153,212,1

Figure2-4-5. Computational Grid Testbed For SC2003=153,212,1

Figure2-4-6. SC2003 HPC Challenge Award=153,212,1

Figure3-1-3. KMI Testbed=159,218,1

Figure3-2-15. Data Grid Testbed Using SRB Servers=177,236,1

Figure3-2-16. Management Of Data In Data Grid=177,236,1

Figure3-2-17. Stage In Files Via Srb Enabled Globus-Url-Copy At RMS=178,237,1

Figure3-2-22. Reservation Monitoring=189,248,1

Figure3-2-23. List Of Reservation=189,248,1

Figure3-2-25. GRMS Architecture=201,260,1

Figure3-2-34. Principle Of Pull Algorithm=222,281,1

Figure3-2-36. Principle Of Push Algorithm=225,284,1

Figure3-3-1. MDS Service Architecture=237,296,1

Figure3-4-10. Local Job Manager State Transition Diagram=287,346,1

Figure3-7-1. GPDK Architecture=337,396,1

Figure3-7-2. GirdPort 3.0 Architecture=337,396,1

Figure3-7-14. OpenMolGRID Architecture=361,420,1

Figure4-2-1. Data Management System=423,482,1

Figure4-2-4. GEDAS Architecture=428,487,1

Figure4-3-4. Gbit Switch Installation=455,514,1

Figure4-3-5. Cluster Grid System Monitoring Window/Digital Temperature Monitoring Device=456,515,1

Figure4-3-6. Cluster System Operation Environment Monitoring System=456,515,1

Figure4-3-7. Monitoring Camera=457,516,1

Figure4-3-12. KRocks 3.3.0 Installation Screen=461,520,1

Figure4-3-13. KRocks 3.2.0 Installation Screen=462,521,1

* 참고도:국내 컴퓨팅 그리드 구축도=539,598,1

* 참고도=546,605,1

Pragma Partners=558,617,1

Figure6-3-2. Flow Chart Of GRASP=562,621,1

○ 주요 기술이전 및 확산 분야=566,626,1

Figure1-1-1. Configuration Map Of National Grid Project(K*Grid)=2,48,1

Figure2-2-1. AG Infrastructure In The World=12,58,1

Figure2-2-2. Node And Certificate Issues=13,59,1

Figure2-2-3. SWOF (Scientific Workspaces Of The Future)=14,60,1

Figure2-2-4. ABC Project=15,61,1

Figure2-2-5. ConferenceXP=16,62,1

Figure2-2-6. Layout Based On The Context (AGPager)=17,63,1

Figure2-2-7. Video Presence=17,63,1

Figure2-2-8. Various Usage Examples Of AG=18,64,1

Figure2-2-9. Schematic Of AG Node=18,64,1

Figure2-2-10. Activepython Installation 1=25,71,1

Figure2-2-11. Activepython Installation 2=25,71,1

Figure2-2-12. Activepython Installation 3=25,71,1

Figure2-2-13. Activepython Installation 4=25,71,1

Figure2-2-14. Activepython Installation 5=26,72,1

Figure2-2-15. Activepython Installation 6=26,72,1

Figure2-2-16. Activepython Installation 7=26,72,1

Figure2-2-17. wxPython Installation 1=26,72,1

Figure2-2-18. wxPython Installation 2=26,72,1

Figure2-2-19. wxPython Installation 3=27,73,1

Figure2-2-20. wxPython Installation 4=27,73,1

Figure2-2-21. wxPython Installation 5=27,73,1

Figure2-2-22. wxPython Installation 6=27,73,1

Figure2-2-23. wxPython Installation 7=27,73,1

Figure2-2-24. wxPython Installation 8=27,73,1

Figure2-2-25. AGTK Installation 1=28,74,1

Figure2-2-26. AGTK Installation 2=28,74,1

Figure2-2-27. AGTK Installation 3=28,74,1

Figure2-2-28. AGTK Installation 4=28,74,1

Figure2-2-29. AGTK Installation 5=28,74,1

Figure2-2-30. AGTK Installation 6=28,74,1

Figure2-2-31. AGTK Installation 7=28,74,1

Figure2-2-32. AGTK Installation 8=28,74,1

Figure2-2-33. Fill In Profile=29,75,1

Figure2-2-34. Venue Client Window=29,75,1

Figure2-2-35. Request Certificate 1=30,76,1

Figure2-2-36. Request Certificate 2=30,76,1

Figure2-2-37. Request Certificate 3=30,76,1

Figure2-2-38. Request Certificate 4=30,76,1

Figure2-2-39. Request Certificate 5=30,76,1

Figure2-2-40. Import Certificate=30,76,1

Figure2-2-41. Node Management=31,77,1

Figure2-2-42. Add ServiceManager 1=31,77,1

Figure2-2-43. Add ServiceManager 2=31,77,1

Figure2-2-44. Add Service 1=31,77,1

Figure2-2-45. Add Service 2=31,77,1

Figure2-2-46. Add Service 3=31,77,1

Figure2-2-47. Run ServiceManager=32,78,1

Figure2-2-48. Add ServiceManager For FullNode=32,78,1

Figure2-2-49. Add Service For Full Node=32,78,1

Figure2-2-50. Service Config 1=32,78,1

Figure2-2-51. Service Config 2=32,78,1

Figure2-2-52. Connect VenueServer=34,80,1

Figure2-2-53. VIC=34,80,1

Figure2-2-54. RAT=34,80,1

Figure2-2-55. Shared Application 1=35,81,1

Figure2-2-56. Shared Application 2=35,81,1

Figure2-2-57. Shared Browser=35,81,1

Figure2-2-58. Shared Presentation=35,81,1

Figure2-2-59. Shared Movie Viewer 1=36,82,1

Figure2-2-60. Shared Movie Viewer 2=36,82,1

Figure2-2-61. Shared Movie Viewer 3=36,82,1

Figure2-2-62. Shared Image Viewer 1=37,83,1

Figure2-2-63. Shared Image Viewer 2=37,83,1

Figure2-2-64. Shared Image Viewer 3=37,83,1

Figure2-2-65. Shared Image Viewer 4=37,83,1

Figure2-2-66. Shared Rasmol 1=38,84,1

Figure2-2-67. Shared Rasmol 2=38,84,1

Figure2-2-68. Shared Rasmol 3=38,84,1

Figure2-2-69. Shared Rasmol 4=38,84,1

Figure2-2-70. Venue Management=39,85,1

Figure2-2-71. Add Venue=39,85,1

Figure2-2-72. Select ‘Use Unicast’=41,87,1

Figure2-2-73. Select Bridge=41,87,1

Figure2-2-74. Add VP Service=42,88,1

Figure2-2-75. Run VP=42,88,1

Figure2-2-76. Add Account=43,89,1

Figure2-2-77. Register Account=43,89,1

Figure2-2-78. Connect ANL Jabber Server=43,89,1

Figure2-2-79. AG Status In Korea=44,90,1

Figure2-2-80. AG Townhall Meeting=45,91,1

Figure2-2-81. Collaboration With LSU=45,91,1

Figure2-2-82. AG Retreat Meeting2004 (1)=47,93,1

Figure2-2-83. AG Retreat Meeting2004 (2)=47,93,1

Figure2-2-84. Test With KBSI=47,93,1

Figure2-2-85. Korea-Singapore AG(1)=48,94,1

Figure2-2-86. Korea-Singapore AG(2)=48,94,1

Figure2-2-87. Virtual Conference On Genomics And Bioinformatics=48,94,1

Figure2-2-88. Remote Education KMA And Bukyung Univ.(1)=49,95,1

Figure2-2-89. Remote Education KMA And Bukyung Univ.(2)=49,95,1

Figure2-2-90. SCGlobal2004=50,96,1

Figure2-2-91. SC2004=50,96,1

Figure2-2-92. HDV Demo Via AG(1)=50,96,1

Figure2-2-93. HDV Demo Via AG(2)=50,96,1

Figure2-2-94. Remote Seminar (1)=50,96,1

Figure2-2-95. Remote Seminar (2)=50,96,1

Figure2-2-96. SC Global Site Registration Status=53,99,1

Figure2-2-97. AG Workshop 2004=55,101,1

Figure2-2-98. Ins Visiting KISTI's AG System Room=56,102,1

Figure2-2-99. AG Homepage=57,103,1

Figure2-2-100. AG Scheduler=57,103,1

Figure2-3-1. The Architecture Of Access Grid Toolkit 2.X=60,106,1

Figure2-3-2. DVTS (Digital Video Transport System)=62,108,1

Figure2-3-3. VLC (VideoLAN Client).=64,110,1

Figure2-3-4. Access Grid Employing DV Transmission.=65,111,1

Figure2-3-5. Architecture Of The Proposed System.=67,113,1

Figure2-3-6. The Change Of Resource Status By Frame Rate.=76,122,1

Figure2-3-7. Select A Video Device.=76,122,1

Figure2-3-8. Added ExtendedVideo(Producer, Consumer)Service=77,123,1

Figure2-3-9. Properties Configuration Of The ExtendedVideoProducerService.=78,124,1

Figure2-3-10. Snapshot Of Access Grid With HDV And DV.=79,125,1

Figure2-3-11. Demonstration At The Access Grid Retreat 2004 Workshop.=79,125,1

Figure2-3-12. Test Bed For Network Adaptive Transmission.=80,126,1

Figure2-3-13. Resource Status On The DV Receiver 1.=81,127,1

Figure2-3-14. Resource Status On The DV Receiver 2.=82,128,1

Figure2-3-15. Interleaving.=89,135,1

Figure2-3-16. Media Independent FEC.=89,135,1

Figure2-3-17. Media Specific FEC.=90,136,1

Figure2-3-18. Performance Enhancement Based On Monitoring.=91,137,1

Figure2-3-19. Hybrid Monitoring Framework.=92,138,1

Figure2-3-20. Hybrid Monitoring Framework.=92,138,1

Figure2-3-21. Multicast Probe Packet Format.=93,139,1

Figure2-3-22. Field In Report Packet.=94,140,1

Figure2-3-23. Hybrid Monitoring Server.=95,141,1

Figure2-3-24. Architecture Of The Hybrid Monitoring Server.=95,141,1

Figure2-3-25. Delay Calculate Using RTCP.=97,143,1

Figure2-3-26. Flowchart Of Self-Diagnosis System.=99,145,1

Figure2-3-27. Design Of Self-Diagnosis System.=99,145,1

Figure2-3-28. AG Monitoring Service Implementation Results.=101,147,1

Figure2-3-29. Experimental Topology.=102,148,1

Figure2-3-30. Active Monitoring Result.=103,149,1

Figure2-3-31. Hybrid Monitoring Result.=103,149,1

Figure2-3-32. Excessive Network Load.=104,150,1

Figure2-3-33. Excessive System Load.=105,151,1

Figure2-3-34. Multicast Bridge Network.=107,153,1

Figure2-3-35. Operations Of Multicast Bridge.=108,154,1

Figure2-3-36. Streams In Venues.=108,154,1

Figure2-3-37. Operation Of Multicast Bridge.=109,155,1

Figure2-3-38. StreamDescription Class.=109,155,1

Figure2-3-39. NetworkLocation Class.=110,156,1

Figure2-3-40. Audio Service.=111,157,1

Figure2-3-41. ProviderProfile Class.=111,157,1

Figure2-3-42. Access Grid Running On Multicast Bridge.=112,158,1

Figure2-3-43. Inside Quick Bridge.=112,158,1

Figure2-3-44. Data Relay Operation Of Quickbridge.=113,159,1

Figure2-3-45. The Snapshot Of Quick Bridge.=114,160,1

Figure2-3-46. Operation Of RC Bridge.=115,161,1

Figure2-3-47. Snap Shot Of RC Bridge.=115,161,1

Figure2-3-48. Stream Selection Based On SSRC.=116,162,1

Figure2-3-49. Network Operation Of UMTP.=117,163,1

Figure2-3-50. High-Quality Video Service.=118,164,1

Figure2-3-51. Modified StreamDescription Class=119,165,1

Figure2-3-52. Problem Of High-Quality Video Service.=120,166,1

Figure2-3-53. StreamDescription Class For Multicast Bridge.=120,166,1

Figure2-3-54. Translation Service Between Multicast Address & Unicast Address.=122,168,1

Figure2-3-55. Multicast Bridge For High-Quality Video Service=122,168,1

Figure2-3-56. StreamDescription Class For Multicast Bridge.=123,169,1

Figure2-3-57. Modified Bridge Server Structure.=124,170,1

Figure2-3-58. Structure To Request Mapping Information.=125,171,1

Figure2-3-59. Overall Operation Of Modified Bridge Server=126,172,1

Figure2-3-60. Operation Of Modified Quickbridge Process=127,173,1

Figure2-3-61. Screen Capture Of Extended Video Service Producer=128,174,1

Figure2-3-62. Screen Capture Of Bridge Server Execution=128,174,1

Figure2-3-63. Screen Capture Of Extended Video Consumer With Unicast=129,175,1

Figure2-3-64. Overall Architecture Of MMag=133,179,1

Figure2-3-65. Session Listener=135,181,1

Figure2-3-66. UML Of SAPAnalyzer.Java=136,182,1

Figure2-3-67. Topology Map=138,184,1

Figure2-3-68. UML Of MtraceManager=139,185,1

Figure2-3-69. UI Of QoS Matrix And E2E Statistics=143,189,1

Figure2-3-70. MMag's Diagnostic Feature=145,191,1

Figure2-3-71. Check Gateway Capabilities=148,194,1

Figure2-3-72. Message-Exchange For Auto Updating=148,194,1

Figure2-3-73. Check Main Schedule=152,198,1

Figure2-3-74. Check Monthly Schedule=152,198,1

Figure2-3-75. Check Daily Schedule=152,198,1

Figure2-3-76. Schedule A Meeting=153,199,1

Figure2-3-77. Find User And Schedule=153,199,1

Figure2-3-78. Check My Schedule=154,200,1

Figure3-2-1. The Classification Of Mobile Devices=162,208,1

Figure3-2-2. Proxy Based Clustered Architecture=165,211,1

Figure3-2-3. Hierarchical Dispatcher Model=167,213,1

Figure3-2-4. Constiution Of Mobile Agent=169,215,1

Figure3-2-5. Condor System Architecture=171,217,1

Figure3-2-6. Mobile Condor System Architecture=172,218,1

Figure3-3-1. The Evolution Of Mobile Communication Technique=177,223,1

Figure3-3-2. B-WLL Network Topology=183,229,1

Figure3-3-3. Structural Topology Of HPI System=189,235,1

Figure3-3-4. Handheld Future Prospect(From:Nokia, Dataquest)=192,238,1

Figure3-4-1. MGA Architecture=205,251,1

Figure3-4-2. Operation Of G2M Interface=206,252,1

Figure3-4-3. Architecture Of Proxy=207,253,1

Figure3-4-4. Architecture Of Mobile Node For MGA=213,259,1

Figure3-4-5. Flow Chart Of User Interface=215,261,1

Figure3-4-6. Selection Of The Resource Information=216,262,1

Figure3-4-7. Flow Chart Of Communication Module=217,263,1

Figure3-4-8. Activation Flow Of MGP=220,266,1

Figure3-4-9. Basic Format Of MGP=222,268,1

Figure3-4-10. Scheduler Organization=223,269,1

Figure3-4-11. State Estimation=224,270,1

Figure3-4-12. Rescheduling=225,271,1

Figure3-4-13. Scheduling Policy=225,271,1

Figure3-4-14. Process Transition Of MG-JSA=234,280,1

Figure3-4-15. State Transition Of Mobile Grid=235,281,1

Figure3-4-16. Stable State=239,285,1

Figure3-4-17. Highly Disconnective State=240,286,1

Figure3-4-18. Unstable State=240,286,1

Figure3-4-19. Highly Connective State=240,286,1

Figure3-4-20. Hardware Organization=246,292,1

Figure3-4-21. Design Of Hardware Organization=246,292,1

Figure3-4-22. Architecture Of Zaurus-5500=250,296,1

Figure3-4-23. Login Form=252,298,1

Figure3-4-24. Resource Information Display Form=253,299,1

Figure3-4-25. Job Request Form=253,299,1

Figure3-4-26. Log File Of Mobile Node=254,300,1

Figure3-4-27. Non-Grid Vs. MGA=255,301,1

Figure3-4-28. Result Of CPI In Normal Scheduling Algorithm=256,302,1

Figure3-4-29. Result Of CPI In MG-JSA=257,303,1

Figure3-4-30. MG- JSA Vs. Normal Scheduling Algorithm=258,304,1

Figure3-4-31. A Self-Sufficient Economic Model For Baseline Devices Involved In Grid Computing=260,306,1

Figure3-4-32. The Mobile Grid Based Business Model System=263,309,1

Figure3-4-33. Process Transition Of The Business Model=264,310,1

Figure3-4-34. Subscription Process As Resource Provider=265,311,1

Figure3-4-35. Job Process Transition In The View Of Resource Provider=266,312,1

Figure4-3-1. Shastra=278,324,1

Figure4-3-2. NPSNET=278,324,1

Figure4-3-3. Dive=280,326,1

Figure4-3-4. Massive=280,326,1

Figure4-3-5. Cooperative Arcade=281,327,1

Figure4-3-6. Coven=282,328,1

Figure4-3-7. Lamda Vision=282,328,1

Figure4-3-8. Tiled Display In The Univ. Of Texas At Austin=283,329,1

Figure4-3-9. Tiled Display In The NCSA=283,329,1

Figure4-4-1. Vertex Program Char String=288,334,1

Figure4-4-2. OpenGL Code To Enable Vertex Program Extension=288,334,1

Figure4-4-3. GL_ARB_Vertex_Program Example Codes=290,336,1

Figure4-4-4. GL_NV_Vertex_Program Example Codes=290,336,1

Figure4-4-5. GL_ARB_Fragment_Program Example Codes=290,336,1

Figure4-4-6. GL_NV _Fragment_Program Example Codes=291,337,1

Figure4-4-7. Built-In Data Types Of Floating Point Array And Matrix=293,339,1

Figure4-4-8. Array Assignment=294,340,1

Figure4-4-9. Vector Operations=294,340,1

Figure4-4-10. Swizzle Operator=295,341,1

Figure4-4-11. Masking Operator=295,341,1

Figure4-4-12. Declaration Of Matrix And Array=295,341,1

Figure4-4-13. Cg Language Semantics=296,342,1

Figure4-4-14. Function Definition And Function Call=297,343,1

Figure4-4-15. Input Parameters=297,343,1

Figure4-4-16. Output Parameter=297,343,1

Figure4-4-17. In-And-Output Parameter=297,343,1

Figure4-4-18. Simplified Fragment Program Using Function Parameters=298,344,1

Figure4-4-19. Uniform Parameter=298,344,1

Figure4-4-20. Setting A Uniform Parameter=298,344,1

Figure4-4-21. Applying Texture Mapping=299,345,1

Figure4-4-22. Vertex Program=300,346,1

Figure4-4-23. Cg Compiler Command Example=300,346,1

Figure4-4-24. Assembly Codes Cg Compiler Generated=301,347,1

Figure4-4-25. Routine To Load Vertex And Fragment Program=302,348,1

Figure4-4-26. Routine To Draw Objects Using Vertex And Fragment Programs=302,348,1

Figure4-4-27. Emissive Color Is Set To 0=303,349,1

Figure4-4-28. Ambient Light=304,350,1

Figure4-4-29. Ambient Light Is On=304,350,1

Figure4-4-30. Getting An Ambient Term=305,351,1

Figure4-4-31. Vectorized Notation To Get An Ambient Term=305,351,1

Figure4-4-32. Diffuse Light=305,351,1

Figure4-4-33. Diffuse Reflection=305,351,1

Figure4-4-34. Diffuse Reflection=306,352,1

Figure4-4-35. Routine To Calculate A Diffuse Term=306,352,1

Figure4-4-36. Specular Reflection=307,353,1

Figure4-4-37. Halfway Vector=307,353,1

Figure4-4-38. Application Of Different Shininess=308,354,1

Figure4-4-39. Routine To Calculate A Specular Term=308,354,1

Figure4-4-40. Final Image=309,355,1

Figure4-4-41. Vertex Lighting(Left) Vs. Fragment Lighting(Right)=310,356,1

Figure4-4-42. Spotlight=311,357,1

Figure4-4-43. Routine To Determine Spotlight Area=311,357,1

Figure4-4-44. Concept Of Reflection Vector=312,358,1

Figure4-4-45. Function To Calculate A Reflection Vector=312,358,1

Figure4-4-46. Example To Perform Cubemap Texturing=313,359,1

Figure4-4-47. OpenGL APIs Related On Cube Map=313,359,1

Figure4-4-48. Reflective Environment Mapping=314,360,1

Figure4-4-49. Function Call To Perform 2D Texture Mapping=314,360,1

Figure4-4-50. Texture Mapping With Environment Mapping=314,360,1

Figure4-4-51. Texture Mapping, Environment Mapping, Refraction=315,361,1

Figure4-4-52. Bump Mapping=315,361,1

Figure4-4-53. Bump Mapped Image=316,362,1

Figure4-4-54. From Height Field To Normal Map=317,363,1

Figure4-4-55. Implementation Of Projective Texture=318,364,1

Figure4-4-56. Function To Perform Projection Texturing=319,365,1

Figure4-4-57. Image Without Shadow(Left) Vs. Image With Shadow(Right)=320,366,1

Figure4-4-58. Shadowed Area (Left) Vs. Area Without Shadow(Right)=321,367,1

Figure4-4-59. RAID On The Cluster System=323,369,1

Figure4-4-60. Tiled Display Using 6 LCD Monitors=325,371,1

Figure4-4-61. Frame For The Tiled Display (Left) Full Set Of Tiled Display(Right)=326,372,1

Figure4-4-62. Script Sets Up NAT(Part)=327,373,1

Figure4-4-63. Contents Of Inittab=327,373,1

Figure4-4-64. Contents Of Bash_Profile=328,374,1

Figure4-4-65. Contents Of .Xinitrc=328,374,1

Figure4-4-66. Screen Capture Of Ganglia=329,375,1

Figure4-4-67. Contents Of/Etc/Dmx/Dmx.Conf=330,376,1

Figure4-4-68. Execution Command Of DMX=331,377,1

Figure4-4-69. Execution Command Of Application Program(Case 1)=332,378,1

Figure4-4-70. Execution Commands List Of Application Program(Case2)=332,378,1

Figure4-4-71. Multiple Application Programs On The Tiled Display=333,379,1

Figure4-4-72. Modification Of Options.Mk=334,380,1

Figure4-4-73. Modification Of Dmx.py=334,380,1

Figure4-4-74. Execution Preparations Of Chromium=335,381,1

Figure4-4-75. Execution Command Of Crserver=335,381,1

Figure4-4-76. Execution Command Of Crappfaker=336,382,1

Figure4-4-77. Visualization Of KTX Data(Lower Left Corner)=336,382,1

Figure4-4-78. Rendering Using Tiled Display(Time-Variant, Curvilinear Grid, 240GB)=337,383,1

Figure4-4-79. Various Types Of Volume Data(Left:Oceanography, Right:CFD)=338,384,1

Figure4-4-80. Volume Data With Regular Grid=339,385,1

Figure4-4-81. Resampling(Left), Tri-Linear Interpolation Of Voxels(Right)=340,386,1

Figure4-4-82. Volume Rendering Showing Various Materials(Medical, www.opendx.org)=340,386,1

Figure4-4-83. Examples Of Ambient Light, Diffuse Light, Specular Light(Left To Right)=341,387,1

Figure4-4-84. Specular Lighting=342,388,1

Figure4-4-85. Compositing=343,389,1

Figure4-4-86. Ray-Casting=344,390,1

Figure4-4-87. Volume Rendering Processing Using 2D Or 3D Textures=345,391,1

Figure4-4-88. Sampling Error Due To The Rotation Of Volume Data=346,392,1

Figure4-4-89. Error Due To The Texture Set Swapping=346,392,1

Figure4-4-90. 1D Transfer Function=347,393,1

Figure4-4-91. Sampling With Proxy Geometry Erpendicular To Image Plane=349,395,1

Figure4-4-92. Register Combiner Setup For The Tri-Linear Interpolation=352,398,1

Figure4-4-93. Correct Texture Mapping By Calculating Adapted Texture Coordinates For Projected Textures=353,399,1

Figure4-4-94. Combiner Setup For Correct Blending Of Two Slices=354,400,1

Figure4-4-95. Diffuse (Left)/Specular(Right) Cube Map=355,401,1

Figure4-4-96. Texture Shader Setup For The Phong Shading=356,402,1

Figure4-4-97. Comparison Of Rendering Image(a, c:Original Data, b, d:Compressed Data) ,=357,403,1

Figure4-4-98. Algorithm Of GPU Ray-Caster=358,404,1

Figure4-4-99. Texture To Generate Rays From The View Point=358,404,1

Figure4-4-100. Routine To Calculate A Ray Equation=359,405,1

Figure4-4-101. Routine To Perform Sampling And Compositing=359,405,1

Figure4-4-102. Comparison Of Pre-Classification And Post-Classification=360,406,1

Figure4-4-103. Classification Using Pre-Integrated Transfer Function=362,408,1

Figure4-4-104. Comparison Of Rendering Image Of Pre-Integrated Volume Rendering And Normal Rendering=363,409,1

Figure4-4-105. 1D Transfer Function=364,410,1

Figure4-4-106. 2D Transfer Function=364,410,1

Figure4-4-107. Transfer Function Of Voxel Value, Gradient Magnitude, 2nd Derivative=365,411,1

Figure4-4-108. 2D(a) & 3D(b) Transfer Function=365,411,1

Figure4-4-109. Rendering Using 3D Transfer Function=366,412,1

Figure4-4-110. Adaptive Texture Map=367,413,1

Figure4-4-111. Indirect Texture Mapping At Adaptive Texture Map=367,413,1

Figure4-4-112. Volume Rendering Using Adaptive Texture Map=368,414,1

Figure4-4-113. Contents Of Voxel=369,415,1

Figure4-4-114. Drawing Proxy Planes=370,416,1

Figure4-4-115. Multiplying Only Projection Matrix To Vertex At Vertex Program=370,416,1

Figure4-4-116. Rotation Of Texture Coordinates At Vertex Program=371,417,1

Figure4-4-117. Modified Texture Coordinates=371,417,1

Figure4-4-118. Fragment Program Codes For Phong Shading=372,418,1

Figure4-4-119. 2D Transfer Function=373,419,1

Figure4-4-120. Volume Data Splitted Into 6 Sub-Volumes=374,420,1

Figure4-4-121. Modified Texture Coordinates Of Sub Volume (Case 1)=374,420,1

Figure4-4-122. Modified Texture Coordinates Of Sub Volume(Case 2)=375,421,1

Figure4-4-123. Rendering Results(a:Bighead, b:Engine, c:Visible Man(Top View), D:Visible Man(Front View))=376,422,1

Figure4-4-124. Example Of Parallel Process=378,424,1

Figure4-4-125. Graphics Pipeline Of Parallel Rendering System=379,425,1

Figure4-4-126. Sort-First Method=380,426,1

Figure4-4-127. Sort-Middle Method=382,428,1

Figure4-4-128. Sort-Last Method=383,429,1

Figure4-4-129. WireGL System Overview=384,430,1

Figure4-4-130. Data Communication In The WireGL=385,431,1

Figure4-4-131. Speed Up For March, Nurbs And Hundy=387,433,1

Figure4-4-132. Data Volume Splitted By K-D Tree=389,435,1

Figure4-4-133. Parallel Composition Of Binary-Swap Method=390,436,1

Figure4-4-134. Head Dataset And Parallel Composition Process=391,437,1

Figure4-4-135. Speed Up For 512 x 512 Image=391,437,1

Figure4-4-136. Left:Projection Of The Bounding Boxes Of Eight Sub-Volumes. Right:The Image Space Is Partitioned Into Areas According To The Number Of Overlaps. In Addition To The Background, There Are Areas With No Overlap(Blue), One Overlap(Green), Two Overlaps(Orange), Three Overlaps(Red), Etc.=393,439,1

Figure4-4-137. Overlapped Region (Green)=394,440,1

Figure4-4-138. Distribution Of The Compositing Tasks(Left), Rendering Result(Right)=395,441,1

Figure4-4-139. Rendering Object And Overlap Region=395,441,1

Figure4-4-140. CT Mouse Data/Ganglion Data=396,442,1

Figure4-4-141. S/W Layer Of VTK Application=398,444,1

Figure4-4-142. Architecture Of VTK=399,445,1

Figure4-4-143. Contents Of CMakeLists.txt=400,446,1

Figure4-4-144. Procedure Making CMake=400,446,1

Figure4-4-145. Procedure Making VTK=401,447,1

Figure4-4-146. Usage Of Core Modules In The VTK API=402,448,1

Figure4-4-147. Usage Of vtkRenderWindowInteractor=404,450,1

Figure4-4-148. Source, Filter, Mapper Objects=406,452,1

Figure4-4-149. VTK Pipeline=406,452,1

Figure4-4-150. VTK Visualization Pipeline Execution=406,452,1

Figure4-4-151. vtkDataObject Class=407,453,1

Figure4-4-152. Execution Order Of VTK Pipeline=408,454,1

Figure4-4-153. Filter Composition Of Example Code 1=409,455,1

Figure4-4-154. Results Of Example Code 1=409,455,1

Figure4-4-155. Pixel Cell=411,457,1

Figure4-4-156. Voxel Cell=411,457,1

Figure4-4-157. DataSet Types=413,459,1

Figure4-4-158. Marching Square-Case Table=415,461,1

Figure4-4-159. Marching Cue-Case Table=415,461,1

Figure4-4-160. Creation Of Object Factory In VTK=421,467,1

Figure4-4-161. Example Code For The Usage Of Object Factory=421,467,1

Figure4-4-162. vtkRenderWindowInteractor=422,468,1

Figure4-4-163. Usage Of Interactor Style=423,469,1

Figure4-4-164. Creation Of New Interactor Style=424,470,1

Figure4-4-165. Parallel Rendering=425,471,1

Figure4-4-166. Visible Human=426,472,1

Figure4-4-167. Participants Of The Tele-Immersive Visualization Grid Project=426,472,1

Figure5-3-1. Network At CHEP And Its Available Research Networks=444,490,1

Figure5-3-2. Network Path Between CHEP And KOREN-NOC=445,491,1

Figure5-3-3. Iperf Test Results Using Single TCP Reno Stream With Variation Of TCP Window Size From 256KB To 4MB. Max Throughput Was 920Mbps.=445,491,1

Figure5-3-4. Network Path Between KNU And Caltech=446,492,1

Figure5-3-5. Iperf Test Results Using Single TCP Reno Stream Between KNU And Caltech. Five Trials Have Been Performed With Each Duration Of 10 Minutes And With 10 Minute Interval Between Tests.=446,492,1

Figure5-3-6. Test Results Using TCP Reno Multi-Streams Between CHEP And Caltech. Maximum Throughput Was 783Mbps With 90 Streams.=447,493,1

Figure5-3-7. KNU-CHICAGO Test (MTU 9000 And 1500, Option 1 Hour, Result:MTU9000-Max Average Throughput 821Mbps, MTU 1500-Max Average Throughput 135Mbps)=448,494,1

Figure5-3-8. Network Path Between CHEP And CERN In Europe=448,494,1

Figure5-3-9. Iperf Test Results Using Single TCP Reno Stream Between KNU And CERN. Five Trials Have Been Performed With Each Duration Of 10 Minutes And With 10 Minute Interval Between Tests=449,495,1

Figure5-3-10. Test Results Using TCP Reno Multi-Streams Between CHEP And CERN. Maximum Throughput Was 714Mbps With 60 Streams.=449,495,1

Figure5-3-11. APII/Genkai Link(APII- Juniper Ge-0/1/0.1)=450,496,1

Figure5-3-12. TransPAC LA Link(TPR2 So-2/0/0.0)=450,496,1

Figure5-3-13. TransPAC LA Link(TPR2 So-2/0/0.0)=450,496,1

Figure5-3-14. Terabye Transmission Setup(Parallel Transmission Between KNU Raid File Server 1 Machine And KT 5 Machines)=452,498,1

Figure5-3-15. Terabye Transmission Traffic(Transmission Complete For Terabyte During 3 Hour 10 Minute, Ave Speed 701Mbps)=452,498,1

Figure5-3-16. Real File Transfer Test(LFTP)=454,500,1

Figure5-3-17. CHEP Network Topology=455,501,1

Figure5-3-18. SRB Connection Scheme Between CHE, KBSI And KISTI To Effectively Use Storage Systems For Data Grid=457,503,1

Figure5-3-19. Grid3 Monitoring Shots:Upper Left Shows Grid3 Sites Health Information:Upper Right Shows Monalisa Monitoring Of Grid3 Sites:Bottom Graph Shows Ganglia Monitoring Of KNU Grieb Site.=459,505,1

Figure5-3-20. LCFGng Architecture=461,507,1

Figure5-3-21. LCFGng Web Interface=461,507,1

Figure5-3-22. J/Ψ의 Invariant Mass With Consideration Of Every Cuts.-Belle=465,511,1

Figure5-3-23. J/Ψ의 Invariant Mass With Consideration Of Every Cuts. - KISTI=465,511,1

Figure5-3-24. Rate With Regard To Size Of File Vs. # Of Streams=466,512,1

Figure5-4-1. World Record From SCinet=468,514,1

jpg

Figure1-1-1. Configuration Map Of National Grid Project(K*Grid)=2,48,1

Figure2-2-4. ABC Project=15,61,1

Figure2-2-96. SC Global Site Registration Status=53,99,1

Figure2-3-15. Interleaving.=89,135,1

Figure2-3-16. Media Independent FEC.=89,135,1

Figure2-3-35. Operations Of Multicast Bridge.=108,154,1

Figure2-3-36. Streams In Venues.=108,154,1

Figure2-3-59. Overall Operation Of Modified Bridge Server=126,172,1

Figure2-3-60. Operation Of Modified QuickBridge Process=127,173,1

Figure2-3-69. UI Of QoS Matrix And E2E Statistics=143,189,1

Figure4-3-3. Dive=280,326,1

Figure4-3-4. Massive=280,326,1

Figure4-4-40. Final Image=309,355,1

Figure4-4-54. From Height Field To Normal Map=317,363,1

Figure4-4-80. Volume Data With Regular Grid=339,385,1

Figure4-4-95. Diffuse (Left)/Specular(Right) Cube Map=355,401,1

Figure4-4-104. Comparison Of Rendering Image Of Pre-Integrated Volume Rendering And Normal Rendering=363,409,1

Figure4-4-107. Transfer Function Of Voxel Value, Gradient Magnitude, 2nd Derivative=365,411,1

Figure4-4-108. 2D(a) & 3D(b) Transfer Function=365,411,1

Figure4-4-110. Adaptive Texture Map=367,413,1

Figure4-4-111. Indirect Texture Mapping At Adaptive Texture Map=367,413,1

Figure4-4-134. Head Dataset And Parallel Composition Process=391,437,1

Figure4-4-135. Speed Up For 512 x 512 Image=391,437,1

Figure4-4-136. Left:Projection Of The Bounding Boxes Of Eight Sub-Volumes. Right:The Image Space Is Partitioned Into Areas According To The Number Of Overlaps. In Addition To The Background, There Are Areas With No Overlap(Blue), One Overlap(Green), Two Overlaps(Orange), Three Overlaps(Red), Etc.=393,439,1

Figure4-4-138. Distribution Of The Compositing Tasks(Left), Rendering Result(Right)=395,441,1

Figure4-4-139. Rendering Object And Overlap Region=395,441,1

Figure4-4-165. Parallel Rendering=425,471,1

Figure4-4-166. Visible Human=426,472,1

Figure4-4-167. Participants Of The Tele-Immersive Visualization Grid Project=426,472,1

Figure5-3-19. Grid3 Monitoring Shots:Upper Left Shows Grid3 Sites Health Information:Upper Right Shows Monalisa Monitoring Of Grid3 Sites:Bottom Graph Shows Ganglia Monitoring Of KNU Grieb Site.=459,505,1

Figure5-4-1. World Record From SCinet=468,514,1

Figure1-1-1. The IT Performance Trend=1,56,1

Figure1-1-2. Schematic Diagram Of The Computational Grid=3,58,1

Figure1-2-1. Computer Power Requirement For Grand Challenge Applications=5,60,1

Figure1-3-1. The Schematic View Of Grid Application For K*Grid Project=6,61,1

Figure2-1-1. PES Of K/InAs(110)=9,64,1

Figure2-1-2. Schematic Drawing Of The Grid Computing=10,65,1

Figure2-1-3. Hybrid High Throughput Computing Model=11,66,1

Figure2-1-4. NSE Architecute=13,68,1

Figure2-1-5. Structure Of MIES=14,69,1

Figure2-1-6. User Client Program=16,71,1

Figure2-1-7. Main Window=16,71,1

Figure2-1-8. File Transfer Window=16,71,1

Figure2-1-9. Input Window=17,72,1

Figure2-1-10. Job Information Using XML=18,73,1

Figure2-1-11. Substitution Pannel Form Pattern To Number=18,73,1

Figure2-1-12. Resource Registration Window=19,74,1

Figure2-1-13. User Certification Window=19,74,1

Figure2-1-14. User Password Input Window=19,74,1

Figure2-1-15. Job Submission=20,75,1

Figure2-1-16. Selection Job Files For Submission=20,75,1

Figure2-1-17. Output Of The Job Submission=21,76,1

Figure2-1-18. Job Status Inquiry=22,77,1

Figure2-1-19. Job Information=22,77,1

Figure2-1-20. Flow Of Job Status=22,77,1

Figure2-1-21. Resource Monitering For Job Submission=23,78,1

Figure2-1-22. Multiple Job Running Status=24,79,1

Figure2-1-23. Selection Of The Job Files=24,79,1

Figure2-1-24. Input Files=25,80,1

Figure2-1-25. INCAR=25,80,1

Figure2-1-26. Accumulation Of Outputs=25,80,1

Figure2-1-27. Receiving Output Files=25,80,1

Figure2-1-28. Elapsed Times And Corresponding Total Energy=26,81,1

Figure2-1-29. CONTCAR Visualization Using Jmol=26,81,1

Figure2-1-30. Bandwidth Measured By Iperf TCP Throughput=27,82,1

Figure2-1-31. Elapsed Time And Speedup=28,83,1

Figure2-2-1. Job Execution Framework=36,91,1

Figure2-2-2. Simulation Command XML Schema=37,92,1

Figure2-2-3. Resource Type=39,94,1

Figure2-2-4. MGrid Portal=41,96,1

Figure2-2-5. Distributed Simulation Repository=42,97,1

Figure2-2-6. Super Scheduler=43,98,1

Figure2-2-7. MGrid DB Schema=46,101,1

Figure2-2-8. Resource States Panel=47,102,1

Figure2-2-9. Cluster Resources Monitoring=48,103,1

Figure2-2-10. Result Of Simulation Job Searching=49,104,1

Figure2-2-11. Schematic Diagram Of GRID-Based MC Docking Simulations=56,111,1

Figure2-2-12. Parameterization For The Diverse MC Simulations=57,112,1

Figure2-2-13. Job-Submit And Task Scheduling For The Chiral Discrimination=57,112,1

Figure2-2-14. Proposed Model System Of Random Target Simulations=58,113,1

Figure2-2-15. Solvent-Accessible Surface Of The Inclusion Of Both Enantiomers Of N-Ac-Phe=59,114,1

Figure3-1-1. Approtein A5 Was Identified Based On The Whole Genome Sequence Homology Comparison(L. Pennacchio, LBNL)=62,117,1

Figure3-1-2. Sequence Alignment=65,120,1

Figure3-1-3. Alignment Of M.Tuberculousis Strain CDC1551(Top) And H37Rv(Bottom)=68,123,1

Figure3-1-4. Cat Versus Mouse:A VISTA Picture Showing An AVID Alignment Of The 5' Region Of The MET Gene In Cat And Mouse=69,124,1

Figure3-1-5. Workflow Of Whole Genome Sequence Alignment On Grid=72,127,1

Figure3-1-6. Algorithm Of Whole Genome Sequence Alignment On Grid=72,127,1

Figure3-1-7. Preprocessing=73,128,1

Figure3-1-8. Genome Sequence Fragmentation=74,129,1

Figure3-1-9. Repeat Masking Algorithm=76,131,1

Figure3-1-10. Plot Of Alignment Between Bacillus Anthracis Str. Ames 0581 And Bacillus Anthracis A2012 Main Chromosome=78,133,1

Figure3-2-1. Post Genome Project=84,139,1

Figure3-2-2. Drug Design Process Using Genome Data=87,142,1

Figure3-2-3. Grid System For Toxic Prediction=89,144,1

Figure3-2-4. Docking Process To Predict Toxicity=91,146,1

Figure3-2-5. Workflow Process Of Toxicity Prediction=92,147,1

Figure3-2-6. Various Information Provided By Protein Data=93,148,1

Figure3-2-7. Processing Protein Data To Predict Toxicity=94,149,1

Figure3-2-8. Glycolysis Process=95,150,1

Figure3-2-9. Urea Process=95,150,1

Figure3-2-10. Protein Database For Toxicity Prediction=96,151,1

Figure3-2-11. Whole Process Of The Portal Service=97,152,1

Figure3-2-12. Software Stack Of The Portal=97,152,1

Figure3-2-13. Ontology Classification Of myGrid=99,154,1

Figure3-2-14. Ontology Classification Of myGrid:Before Classification=100,155,1

Figure3-2-15. Ontology Classification Of myGid:After Classification=100,155,1

Figure3-2-16. myGrid Portal=101,156,1

Figure3-2-17. S/W Components Of The Portal=102,157,1

Figure3-2-18. JCML Schema=103,158,1

Figure3-2-19. MSF's Workflow Engine=104,159,1

Figure3-2-20. Grid Portal Stack For Web-Service Based Workflow=105,160,1

Figure3-2-21. WS-Addressing Schema=105,160,1

Figure3-2-22. Extend Node Description Of JCML=106,161,1

Figure3-2-23. Extend Data Description Of JCML=107,162,1

Figure3-2-25. The Portal:Grid Proxy Management=109,164,1

Figure3-2-26. The Portal:Create & Summit Jobs=109,164,1

Figure3-2-27. The Portal:Workflow And Job Monitoring=110,165,1

Figure3-2-28. The Portal:Workflow Graph=110,165,1

Figure3-2-29. The Portal:Job Result Stored In The Repository=110,165,1

Figure3-2-30. The Portal:Job Result=110,165,1

Figure3-2-31. The Portal:Virtual Screening Result=111,166,1

Figure3-2-32. The Portal:Toxicity Prediction Result=111,166,1

Figure4-1-1. Medical Grid System=113,168,1

Figure4-1-2. Organization=114,169,1

Figure4-1-3. Method Of Research=115,170,1

Figure4-1-4. Experimental Data=116,171,1

Figure4-1-5. Automatic Lung Registration Using Local Distance Propagation=117,172,1

Figure4-1-6. Creation Of 3D Distance Map Using Local Distance Propagation=118,173,1

Figure4-1-7. 3D Distance Map=118,173,1

Figure4-1-8. Calculation Of Evaluation Function=119,174,1

Figure4-1-9. GWPS Architecture=121,176,1

Figure4-1-10. Service Container Internal=122,177,1

Figure4-1-11. Service Container Bean Internal=123,178,1

Figure4-1-12. Function Of Job Scheduler=124,179,1

Figure4-1-13. Actuator=126,181,1

Figure4-1-14. Actuator Internal=126,181,1

Figure4-1-15. Call Procedure Of Job Submission Service Of Actuator=127,182,1

Figure4-1-16. Service Nodes And Calculated Results=130,185,1

Figure4-1-17. Experiment Data=131,186,1

Figure4-1-18. Calculation Of Correspondence Of Lung Nodules=132,187,1

Figure4-2-1. 2004 GFK Summer Workshop=137,192,1

Figure4-2-2. Costs & Benefits=138,193,1

Figure4-2-3. Forecast's Analysis System Main Window With Various Meteorological Data And Korean Menu=141,196,1

Figure4-2-4. FAS System Through VNC=143,198,1

Figure4-2-5. CCSM3.0 Framework=146,201,1

Figure4-2-6. Data-Grid Constitutes For Climate Prediction=154,209,1

Figure4-2-7. Result Of GridFTP Daemon Test=158,213,1

Figure4-2-8. Result Of GridFTP=159,214,1

Figure4-2-9. Result Of GridFTP With Tcp-Buffer-Size Option=159,214,1

Figure4-2-10. RFT Architecture(Source:Madduri, Etc.:2002)=160,215,1

Figure4-2-11. RLS Conceptual Schematic=161,216,1

Figure4-2-12. Main Service Fo GT3.9.3=163,218,1

Figure4-2-13. Testing Of RFT Server=167,222,1

Figure4-2-14. Example Of Analyzing Climate Data Using GrADS-DODS=168,223,1

Figure4-2-15. After GridSphere Installation=171,226,1

Figure4-2-16. Registration Of Grid Resource=172,227,1

Figure4-2-17. User Registed Credential List=172,227,1

Figure4-2-18. Resource Browser Portlet List=173,228,1

Figure4-2-19. Job Submission Portlet List=173,228,1

Figure4-2-20. Job Input Information=173,228,1

Figure4-2-21. Job List-Job Completed=174,229,1

Figure4-2-22. File Browser Portlet-Host Selection=174,229,1

Figure4-2-23. Administrator Level Layout Manager=175,230,1

Figure4-2-24. New Screen Added Link Site=175,230,1

Figure5-1-1. Pegasus Cluster System=180,235,1

Figure5-1-2. SSC4 Resource In The K*Grid=182,237,1

Figure5-1-3. Conventional Distributed Master-Slave Genetic Algorithm=185,240,1

Figure5-1-4. Job Prioritization To Maximize Evaluation Throughput=186,241,1

Figure5-1-5. Genetic Algorithm Related Classes Hierarchy=187,242,1

Figure5-1-6. Color Map Visualization Technique:Color Mapping Of Shear Stress In Cyclocopter Blade Insert=188,243,1

Figure5-1-7. Contour Visualization Technique:Contour Surfaces Of Shear Stress In Cyclocopter Blade Insert=189,244,1

Figure5-1-8. Warping Visualization Technique:Deformed Shape Of Cyclocopter Blade System=189,244,1

Figure5-1-9. GUI For Virtual Design And Development On Grid=190,245,1

Figure5-1-10. Job Status Of Conventional GA Implementation On Grid=191,246,1

Figure5-1-11. Job Status Of Present GA Implementation On Grid With Asynchronous Fitness Evaluations=191,246,1

Figure5-1-12. Convergence Of Present Implementation Compared With That Of Conventional GA Implementation=191,246,1

Figure5-1-13. Front Stack Memory Minimization=193,248,1

Figure5-1-14. Example Of Memory Balancing=193,248,1

Figure5-1-15. Interface Re-Indexing Method=194,249,1

Figure5-1-16. Development Of IPSAP Service:Server-Side Programming With DIET=197,252,1

Figure5-1-17. Development Of IPSAP Service:Client-Side Programming With DIET=198,253,1

Figure5-1-18. Fitness Distribution Of Clamped Plate In Genetic Process (A)Thickness-To-Length Ratio 0.01 (B)Thickness-To-Length Ratio＝0.001=200,255,1

Figure5-1-19. Fitness Distribution Of Simply-Supported Plate In Genetic Process (A) Thickness-To-Length Ratio＝0.01 (B) Thickness-To-Length Ratio＝0.001=200,255,1

Figure5-1-20. The Cycloidal Blade System=201,256,1

Figure5-1-21. A Cyclocopter System=201,256,1

Figure5-1-22. Constitution Of Composite Blade Structure=203,258,1

Figure5-1-23. Blade Insert System=203,258,1

Figure5-1-24. Design Variables:Span And Chord Length Of Blade System=204,259,1

Figure5-1-25. Design Variables:Number Of Plies And Stack Sequence Of Composite Blade Skin=205,260,1

Figure5-1-26. Design Variables:Locations And Radii=205,260,1

Figure5-1-27. Number Of Running And Pending Jobs:Initial Design Phase=206,261,1

Figure5-1-28. Convergence With Respect To Elapsed Time:Initial Design Phase=207,262,1

Figure5-1-29. Convergence With Respect To Elapsed Time:Final Design Phase=208,263,1

Figure5-2-1. Analysis Module Information=212,267,1

Figure5-2-2. The Basic Collaborative Optimization Architecture=214,269,1

Figure5-2-3. Pareto Frontier=218,273,1

Figure5-2-4. EMAS=220,275,1

Figure5-2-5. EMAS Algorithm=222,277,1

Figure5-2-6. Twisted Beam=230,285,1

Figure5-2-7. Skin=231,286,1

Figure5-2-8. Spar And Rib=231,286,1

Figure5-2-9. Optimized Flow Chart=232,287,1

Figure5-2-10. Model Center And Analysis=233,288,1

Figure5-2-11. Model Center Model And RSM-Optimizer Model=234,289,1

Figure5-2-12. ONERA M6 Wing=235,290,1

Figure5-2-13. Pressure Distribution=235,290,1

Figure5-2-14. Surface Pressure Distribution At 44% Span=235,290,1

Figure5-2-15. Surface Pressure Distribution At 65% Span=235,290,1

Figure5-3-1. Cactus Flesh & Thorns=242,297,1

Figure5-3-2. Structure Of Cactus=243,298,1

Figure5-3-3. Thorn And Cactus=243,298,1

Figure5-3-4. Thorn In The Wavetoy Example=244,299,1

Figure5-3-5. Remote Visualization=246,301,1

Figure5-3-6. Visualization Step From Cactus I/O=248,303,1

Figure5-3-7. File Sharing Between HDF Machines=248,303,1

Figure5-3-8. Control And Status Page=250,305,1

Figure5-3-9. Viewport Page=250,305,1

Figure5-3-10. Downloadable Files=250,305,1

Figure5-3-11. Algorithm Of Euler Equation=258,313,1

Figure5-3-13. Scheduling For 3D Euler Equation=260,315,1

Figure5-3-14. 3D Wedge Wave=261,316,1

Figure5-3-15. Boundary Condition=261,316,1

Figure5-3-16. Comparison Between CFD And Cactus Frame-- Center(Left:Reference Code, R:Cactus Euler Thorn)=262,317,1

Figure5-3-17. Comparison Between CFD And Cactus Frame-- Side(Left:Reference Code, R:Cactus Euler Thorn)=262,317,1

Figure5-3-18. RAE-2822 Lattice System=263,318,1

Figure5-3-19. Pressure Distribution=263,318,1

Figure5-3-20. 3D Onera-M6 Wing (O-Type)=264,319,1

Figure5-3-21. Pressure Distribution=264,319,1

Figure5-3-22. Grid-One Portal=267,322,1

Figure5-3-23. Job Migration=269,324,1

Figure5-3-24. Job Migration Process In K*Grid=269,324,1

Figure5-3-25. Cactu-Euler3D=272,327,1

Figure5-3-26. Total Computing Time=272,327,1

Figure5-3-27. Speed-Up=273,328,1

Figure5-3-28. Parallel Performance=273,328,1

Figure6-1-1. Data Acquisition=276,331,1

Figure6-1-2. Data Management=276,331,1

Figure6-1-3. Telescience Portal System=277,332,1

Figure6-1-4. Hanbit Plasma And DAQ=279,334,1

Figure6-1-5. Hanbit Data GRID=279,334,1

Figure6-1-6. Flow Of The Hanbit Data=280,335,1

Figure6-1-7. Draft Version Of Hanbit Data GRID Web Portal=280,335,1

Figure6-1-8. HANBIT Java Class Model For Data Tree=281,336,1

Figure6-1-9. Hardware Driver Structure For HANBIT Equipment PXI=282,337,1

Figure6-1-10. Tomogram=285,340,1

Figure6-1-11. Tomography Principle & Example Using UHV-TEM=286,341,1

Figure6-1-12. Electron Tomography And 3-D Reconstruction Usign UHV -TEM=287,342,1

Figure6-1-13. Tomography Image Process=287,342,1

Figure6-1-14. Raw EM Data=288,343,1

Figure6-1-15. Dual-Axis Tilt-Series Microscopy=288,343,1

Figure6-1-16. EM Tomography Image=288,343,1

Figure6-1-17. Modeling Of The Tomogram=289,344,1

Figure6-1-18. A Serial Tomographic Reconstruction=289,344,1

Figure6-1-19. Dissection And Analysis=289,344,1

Figure6-1-20. eTomo Interface=291,346,1

Figure6-1-21. 3dmod Rendering Process=291,346,1

Figure6-1-22. GTomo Off-Line=292,347,1

Figure6-1-23. GTomo On-Line=292,347,1

Figure6-1-24. Grid Test-Bed For UHV-TEM=293,348,1

Figure6-1-25. System Information From Srb.Kbsi.Re.Kr=293,348,1

Figure6-1-26. KBSI HVEM SRB=294,349,1

Figure6-1-27. Teleinstrument For UHV-TEM=295,350,1

Figure6-1-28. Remote Control For UHV-TEM=296,351,1

Figure6-2-1. Worldwide Grid Spending By Type Of Organization($Millions) 2003-2008=305,360,1

Figure6-2-2. Scenario:Korea Enterprise Grid Alliance=313,368,1

Figure6-2-3. Korea@Home Daily Performance=318,373,1

Figure6-2-4. Architecture Of The Revenue Sharing Model For The Grid Computing Market=321,376,1

Figure6-2-5. The Social Efficiency By The Rate Of Revenue-Sharing(Price Elasticity＝0.9)=322,377,1

Figure6-2-6. The Relation Of Benefit At The Situation A=327,382,1

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Figure1-3-1. The Schematic View Of Grid Application For K*Grid Project=6,61,1

Figure2-1-1. PES Of K/InAs(110)=9,64,1

Figure2-1-3. Hybrid High Throughput Computing Model=11,66,1

Figure2-2-1. Job Execution Framework=36,91,1

Figure2-2-15. Solvent-Accessible Surface Of The Inclusion Of Both Enantiomers Of N-Ac-Phe=59,114,1

Figure3-2-1. Post Genome Project=84,139,1

Figure3-2-4. Docking Process To Predict Toxicity=91,146,1

Figure3-2-7. Processing Protein Data To Predict Toxicity=94,149,1

Figure4-1-9. GWPS Architecture=121,176,1

Figure5-1-9. GUI For Virtual Design And Development On Grid=190,245,1

Figure5-3-16. Comparison Between CFD And Cactus Frame-- Center(Left:Reference Code, R:Cactus Euler Thorn)=262,317,1

Figure5-3-17. Comparison Between CFD And Cactus Frame-- Side(Left:Reference Code, R:Cactus Euler Thorn)=262,317,1

Figure5-3-18. RAE-2822 Lattice System=263,318,1

Figure5-3-19. Pressure Distribution=263,318,1

Figure5-3-20. 3D Onera-M6 Wing (O-Type)=264,319,1

Figure5-3-21. Pressure Distribution=264,319,1

Figure5-3-25. Cactu-Euler3D=272,327,1

Figure5-3-26. Total Computing Time=272,327,1

Figure5-3-27. Speed-Up=273,328,1

Figure5-3-28. Parallel Performance=273,328,1

Figure6-1-10. Tomogram=285,340,1

Figure6-1-14. Raw EM Data=288,343,1

Figure6-1-15. Dual-Axis Tilt-Series Microscopy=288,343,1

Figure6-1-16. EM Tomography Image=288,343,1

Figure6-1-17. Modeling Of The Tomogram=289,344,1

Figure6-1-18. A Serial Tomographic Reconstruction=289,344,1

Figure6-1-19. Dissection And Analysis=289,344,1

Figure6-1-20. eTomo Interface=291,346,1

Figure6-1-21. 3dmod Rendering Process=291,346,1

Figure6-2-5. The Social Efficiency By The Rate Of Revenue-Sharing(Price Elasticity＝0.9)=322,377,1

Figure1-1-1. Grid Network Operation Center=2,25,1

Figure2-1-1. KREONET Backbone Network Upgrade=6,29,1

Figure2-1-2. Link To Foreign Research Networks=8,31,1

Figure2-1-3. 초고속선도망(KOREN)=10,33,1

Figure3-1-1. Procedure Of Network Support=14,37,1

Figure3-1-2. WDM Topology=19,42,1

Figure3-1-3. Lambda Network Information=22,45,1

Figure3-2-1. International Gateway Of KREONET=28,51,1

Figure3-2-2. Status Of KREONET-Starlight Link=30,53,1

Figure3-2-3. KREONet2 -Starlight Network Topology=31,54,1

Figure3-2-4. Network Information POSGigE 1.2Gbps=32,55,1

Figure3-2-5. Link Information Of Korea-China Link=33,56,1

Figure3-3-1. Multicast Peer Map=35,58,1

Figure3-3-2. Network For Access-Grid=36,59,1

Figure3-4-1. IPv6 Network Peer Map=37,60,1

Figure3-4-2. IPv6 Lambda Network Map=40,63,1

Figure3-5-1. Architecture Of Lambda Service=41,64,1

Figure3-5-2. Organization Map Of Lambda Service=42,65,1

Figure4-2-1. Support Of Grid Network=49,72,1

Figure4-2-2. AMP(Active Measurement Project)=54,77,1

Figure4-2-3. AMP Point Modification=56,79,1

Figure4-2-4. SLA For Grid Network=59,82,1

Figure5-1-1. TCP Congestion Control In Fast Retransmit=63,86,1

Figure5-1-2. Throughput TCP Performance=64,87,1

Figure5-1-3. Through Put Buffer=65,88,1

Figure5-2-1. IPv6 Through Performance 1=71,94,1

Figure5-2-2. IPv6 Through Performance 2=71,94,1

Figure5-4-1. SLA Service Map=73,96,1

Figure5-5-1. Multicast Service For Access-Grid=74,97,1

Figure6-1-1. GRID Architecture=76,99,1

Figure6-1-2. Activities=77,100,1

Figure6-1-3. GRID Distillation=79,102,1

Figure6-1-4. KREONET's Topology(2004)=81,104,1

Figure6-1-5. Change Of High-Speed Research Networking Local Center=82,105,1

Figure6-1-6. Connection Between KREONET And STAR TAP=83,106,1

Figure6-1-7. Backbone Topology=86,109,1

Figure6-1-8. Mixing Traffic=87,110,1

Figure6-1-9. KREONET Network Resource Allocation Policy I=88,111,1

Figure6-1-10. KREONET Network Resource Allocation Policy II=88,111,1

Figure6-1-11. KREONET Resource Usage Contract Procedure=88,111,1

Figure6-1-12. Centralized Management=92,115,1

Figure6-1-13. Centralized Management & Distributed Traffic Controller Resource Co-Allocation Strategy=93,116,1

Figure6-2-1. RSVP Signaling=95,118,1

Figure6-2-2. Basic Diffserv Domain=98,121,1

Figure6-2-3. BB:Bandwidth Broker=100,123,1

Figure6-2-4. DS Field Format In The IPv4=102,125,1

Figure6-2-5. DS Field Format In The IPv6=102,125,1

Figure6-2-6. Inter-BB Signaling=106,129,1

Figure6-2-7. Example Of Proposed Architecture=109,132,1

Figure6-3-1. GRID Monitoring Architecture And Component=118,141,1

Figure6-3-2. Producer/Consumer=122,145,1

Figure6-3-3. The Relationship Between The Terms=126,149,1

Figure6-3-4. The Relation Between The Node And Path Network Entities=130,153,1

Figure6-3-5. Network Characteristics That Can Be Used To Describe The Behaviour Of Network Entities=133,156,1

Figure6-4-1. Network Aware Resource Co-Allocation System Architecture=157,180,1

Figure6-4-2. Centralized Resource Allocation Manager Architecture=159,182,1

Figure6-4-3. Local Resource Allocation Manager Architecture=161,184,1

Figure6-4-4. Traffic Controller Architecture=163,186,1

Figure6-4-5. Resource Co-Allocation Mechanism=163,186,1

Figure6-4-6. Immediate Resource Allocation Procedure=164,187,1

Figure6-4-7. Advanced Resource Allocation Procedure=165,188,1

Figure6-4-8. Reservation Resource Saving Procedure=166,189,1

Figure6-4-9. LRAM Execution Display 2=168,191,1

Figure6-4-10. LRAM Execution Display 3=169,192,1

Figure6-4-11. CRAM Execution Display=171,194,1

Figure6-4-12. Front-Page Of System Web Interface=173,196,1

Figure6-4-13. NARS Web Interface Road Map=174,197,1

Figure6-4-14. Reservation Monitoring Displayer=177,200,1

Figure6-4-15. Reservation Procedure=178,201,1

Figure6-4-16. List Of Reserved Network Resource=179,202,1

Figure6-4-17. Member Enrollment=182,205,1

Figure6-4-18. Error Message Of Fault Account=182,205,1

Figure6-4-19. Error Message Of Fault Secret Number=183,206,1

Figure6-4-20. Screen Of Log-In=183,206,1

Figure6-4-21. Screen Of Manager's Menu=183,206,1

Figure6-4-22. Screen To Modify User Information=184,207,1

Figure6-4-23. Screen To Delete User Information=184,207,1

Figure6-4-24. Screen Of Network Monitoring=185,208,1

Figure6-4-25. Screen Of Reserved State=186,209,1

Figure6-4-26. Gurescreen Of Network Resource Reservation=186,209,1

Figure6-4-27. Screen Of Resource Reservation=187,210,1

Figure6-4-28. Screen To Modify Reserved Resource=187,210,1

Figure6-4-29. Components Of Basic Network=189,212,1

Figure6-4-30. Constitution Of Network Monitoring=189,212,1

Figure6-4-31. Router CPU Usage Monitoring=190,213,1

Figure6-4-32. Router Traffic Monitoring=191,214,1

Figure6-4-33. Bandwidth Usage Monitoring Between Of Routers=192,215,1

Figure6-4-34. Traffic Monitoring Of Host's In/Output Traffic=193,216,1

Figure6-4-35. Testbed Configuration=194,217,1

Figure6-4-36. Experiment Network Configuration=196,219,1

Figure6-4-37. Result Of Advance Reservation Experiment=198,221,1

Figure6-4-38. Result Of Reservation Type Experiment=199,222,1

Figure6-4-39. Result Of Reservation Network Parameter=200,223,1

Figure7-1-1. SLA Service Architecture=205,228,1

Figure7-1-2. SLA Monitoring Model=210,233,1

Figure7-1-3. The Procedure Of SLA=211,234,1

Figure7-2-1. GMA Components=213,236,1

Figure7-2-2. Network Monitoring System Based On GMA=215,238,1

Figure7-2-3. Directory Service=216,239,1

Figure7-2-4. The Flow Chart Of Producer=217,240,1

Figure7-2-5. The Flow Of Resource=218,241,1

Figure7-2-6. The Flow Of Consumer Monitoring=219,242,1

Figure7-2-7. JAMM Architecture=221,244,1

Figure7-3-1. Configuration In The Grid Network Environment=223,246,1

Figure7-3-2. The Method Of Download Test=225,248,1

Figure7-3-3. The Method Of Upload Test=226,249,1

Figure7-3-4. The Method Of ICMP Test=227,250,1

Figure7-3-5. The Method Of Streaming Protocol Test=228,251,1

Figure7-3-6. The Method Of Route Test=229,252,1