Yen Grid Computing

International Symposium on Grid Computing (ISGC 2007)
1. Auflage 2008
ISBN: 978-0-387-78417-5
Verlag: Springer-Verlag
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 206 Seiten

Grid Computing: International Symposium on Grid Computing (ISGC) 2007 is one of the most important annual events in Asia that brings together scientific contributions by world class researchers and scientists working in the Grid Computing field to exchange ideas, to present challenges, solutions and future development. The objective of this Symposium is to facilitate the information exchange as well as to explore the global collaboration and interoperation among various Grid projects. Based on the ISGC 2007, held in Taipei, Taiwan in March of 2007, this edited volume presents the latest grid solutions and research results in grid operations, grid middleware, biomedical operations, e-science applications and more.

Grid Computing: International Symposium on Grid Computing (ISGC) 2007 is designed for a professional audience, composed of researchers and practitioners in academia and industry. This book is also suitable for graduate-level students in computer science. It is also one of the most important sources of Grid Computing and e-Science development in the Asia Pacific region.

Autoren/Hrsg.

Yen, Eric

Inhaltsverzeichnis

1;Preface;5
2;Contents;7
3;Program Committee;9
4;Contributors;11
5;Grid Activities in Asia Pacific;15
5.1;Asia Federation Report International Symposium on Grid Computing 2007;16
5.1.1;1 Introduction;16
5.1.2;2 EGEE;16
5.1.3;3 EGEE III Asia-Pacific;18
5.1.4;4 Representative Summaries;19
5.1.5;5 Asia Federation Meeting Minutes ISGC 2007;38
5.2;e-Infrastructure for Taiwan and International Collaboration;43
5.2.1;1 Introduction;43
5.2.2;2 Bridging the Gap between Asia and the World;44
5.2.3;3 From Production into Sustainability;47
5.2.4;4 Summary and FutureWorks;49
5.2.5;References;49
6;Application - High Energy Physics, Biomedicine and Life Sciences;50
6.1;e-Science for High Energy Physics in Korea;51
6.1.1;1 The e-Science for High Energy Physics;51
6.1.2;2 Network;52
6.1.3;3 International Collaborations;53
6.1.4;4 Achievements;54
6.1.5;5 Conclusions;57
6.1.6;References;57
6.2;HEP Grid Computing in the UK: MOVING Towards the LHC Era;59
6.2.1;1 Resources;59
6.2.2;2 Activities;63
6.2.3;3 UKTier-1;64
6.2.4;4 Going Forward;65
6.2.5;References;66
6.3;MediGRID – Grid Computing For Medicine and Life Sciences;67
6.3.1;1 Introduction;67
6.3.2;2 MediGRID – Resources for Medicine and Life Science;69
6.3.3;3 Discussion and Conclusion;74
6.3.4;References;74
6.4;Porting Biological Applications in Grid: An Experience within the EUChinaGRID Framework;76
6.4.1;1 Introduction;76
6.4.2;2 Methods;77
6.4.3;3 Results;78
6.4.4;References;80
6.5;Grid Computing at Peking University in EUChinaGRID Project;81
6.5.1;1 Introduction;81
6.5.2;2 Grid Computing and EUChinaGRID Project;82
6.5.3;3 BEIJING-PKU Site and Application on HEP in Peking University;84
6.5.4;4 Application of Grid Computing on Biology Research at PKU;88
6.5.5;5 Summary;93
6.5.6;References;93
7;Grid Middleware & Interoperability;94
7.1;ReSS: A Resource Selection Service for the Open Science Grid;95
7.1.1;1 Introduction;95
7.1.2;2 Architecture;96
7.1.3;3 ReSS Deployments;101
7.1.4;4 Validations and Evaluations;101
7.1.5;5 Conclusions;103
7.1.6;References;104
7.2;A Model for the Storage Resource Manager;105
7.2.1;1 Introduction;105
7.2.2;2 The Storage Resource Manager;106
7.2.3;3 A Model for the Storage Resource Manager;106
7.2.4;4 A More Formal Static Model;108
7.2.5;5 Validation of Existing SRM Implementations;109
7.2.6;6 Conclusions;110
7.2.7;References;110
7.3;The Session Based Fault Tolerance Algorithm of Platform EGO Web Service Gateway;112
7.3.1;1 Introduction;112
7.3.2;2 Related Works;113
7.3.3;3 Paper Organization;114
7.3.4;4 EGO Overview;114
7.3.5;5 EGO Web Service Gateway;115
7.3.6;6 EGO WSG Architecture;115
7.3.7;7 WSG Sessions;117
7.3.8;8 WSG Security;119
7.3.9;9 UsernameToken: (Username, Password, Nonce, Created);119
7.3.10;10 WSG Fault Tolerance;119
7.3.11;11 Reliable Notifications;120
7.3.12;12 WSG Failure Report;120
7.3.13;13 Sessions Recovery;120
7.3.14;14 Recovery Algorithm;121
7.3.15;15 Conclusion;124
7.3.16;References;125
7.4;Experiences with Using UNICORE in Production Grid Infrastructures DEISA and D- Grid;126
7.4.1;1 Introduction;126
7.4.2;2 UNICORE;127
7.4.3;3 UNICORE Components;127
7.4.4;4 Monitoring of UNICORE Servers with SIMON;128
7.4.5;5 DESHL (DEISA Services for the Heterogeneous Management Layer);129
7.4.6;6 Production Environment in D-Grid and DEISA;130
7.4.7;7 D-Grid User Management Infrastructure;130
7.4.8;8 DEISA User Management Infrastructure;130
7.4.9;9 Experiences from UNICORE in Production Grid Infrastructures;132
7.4.10;10 User Requirements to a Grid Middleware;132
7.4.11;11 Conclusions;134
7.4.12;References;134
7.5;Dashboard for the LHC Experiments;136
7.5.1;1 Introduction;136
7.5.2;2 Overview of the Architecture;137
7.5.3;3 Experiment Dashboard Applications;139
7.5.4;4 Future Plans;142
7.5.5;5 Conclusions;143
7.5.6;References;143
7.6;Characteristics of a Novel Grid Resource Broker cum Meta- Scheduler;145
7.6.1;1 Introduction;145
7.6.2;2 Broader Goals;146
7.6.3;3 Administrative Requirements;146
7.6.4;4 User Requirements;149
7.6.5;5 Comparison of the Popular Grid Brokers/Schedulers;152
7.6.6;6 Conclusion;152
7.6.7;References;153
8;Operation & Management;154
8.1;Core D-Grid Infrastructure;155
8.1.1;1 Introduction to D-Grid;155
8.1.2;2 D-Grid Integration Project;156
8.1.3;3 Core D-Grid Infrastructure;158
8.1.4;4 D-Grid Integration Project 2;163
8.1.5;References;163
8.2;Monitoring the Availability of Grid Services Using SAM and Gridview;165
8.2.1;1 Introduction;165
8.2.2;2 Introduction to SAM and Gridview;166
8.2.3;3 Service Availability Monitoring Goals;166
8.2.4;4 Service Monitoring and Visualization Architecture;166
8.2.5;5 Grid Services Monitored and Computation of Availability Metrics;168
8.2.6;6 Visualization;169
8.2.7;7 User Groups;169
8.2.8;8 On-going Work;169
8.2.9;References;170
8.3;DEISA – Cooperative Extreme Computing Across Europe;171
8.3.1;1 Introduction;171
8.3.2;2 The DEISA System and Network Infrastructure;172
8.3.3;3 DEISA and its Grid Middleware;173
8.3.4;4 VO and Security;177
8.3.5;5 Management and Operation;178
8.3.6;6 Lessons Learned;180
8.3.7;7 Summary;181
8.3.8;References;181
9;Industry & Government;182
9.1;Managing Parallel and Distributed Monte Carlo Simulations for Computational Finance in a Grid Environment;183
9.1.1;1 Introduction;183
9.1.2;2 Background;184
9.1.3;3 Gird Process Model;189
9.1.4;4 Grid Efficiency Metrics;195
9.1.5;5 Parallel Experiments on the Grid;197
9.1.6;6 Conclusions and Perspectives;202
9.1.7;References;203
10;Index;205