Grid Resource Management: State of the Art and Future Trends

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Jarek Nabrzyski, Jennifer M. Schopf, Jan Weglarz
Springer Science & Business Media, 2004 - 574 Seiten
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Grid Resource Management: State of the Art and Future Trends presents an overview of the state of the field and describes both the real experiences and the current research available today. Grid computing is a rapidly developing and changing field, involving the shared and coordinated use of dynamic, multi-institutional resources. Grid resource management is the process of identifying requirements, matching resources to applications, allocating those resources, and scheduling and monitoring Grid resources over time in order to run Grid applications as efficiently as possible.
While Grids have become almost commonplace, the use of good Grid resource management tools is far from ubiquitous because of the many open issues of the field, including the multiple layers of schedulers, the lack of control over resources, the fact that resources are shared, and that users and administrators have conflicting performance goals. These are the issues addressed in this book, in addition to elucidating the overlap with related areas including discussions of work with peer-to-peer computing, economic approaches, and operations research.
Grid Resource Management: State of the Art and Future Trends is an invaluable resource for today's user, application developer, or resource owners when working with Grid resource management systems.
 

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Inhalt

THE GRID IN A NUTSHELL
3
TEN ACTIONS WHEN GRID SCHEDULING
15
APPLICATION REQUIREMENTS FOR RESOURCE BROKERING IN A GRID ENVIRONMENT
25
ATTRIBUTES FOR COMMUNICATION BETWEEN GRID SCHEDULING INSTANCES
41
SECURITY ISSUES OF GRID RESOURCE MANAGEMENT
53
RESOURCE MANAGEMENT IN SUPPORT OF COLLABORATIONS
71
SCHEDULING IN THE GRID APPLICATION DEVELOPMENT SOFTWARE PROJECT
73
WORKFLOW MANAGEMENT IN GRIPHYN
99
MULTICRITERIA ASPECTS OF GRID RESOURCE MANAGEMENT
271
A METAHEURISTIC APPROACH TO SCHEDULING WORKFLOW JOBS ON A GRID
295
DATACENTRIC APPROACHES FOR GRID RESOURCE MANAGEMENT
319
STORAGE RESOURCE MANAGERS
321
NEST A GRID ENABLED STORAGE APPLIANCE
341
COMPUTATION SCHEDULING AND DATA REPLICATION ALGORITHMS FOR DATA GRIDS
359
QUALITY OF SERVICE QOS
375
GARA A UNIFORM QUALITY OF SERVICE ARCHITECTURE
377

STATE OF THE ART GRID RESOURCE MANAGEMENT
117
GRID SERVICE LEVEL AGREEMENTS
119
CONDOR AND PREEMPTIVE RESUME SCHEDULING
135
GRID RESOURCE MANAGEMENT IN LEGION
145
GRID SCHEDULING WITH MAUISILVER
161
SCHEDULING ATTRIBUTES AND PLATFORM LSF
171
PBS PRO GRID COMPUTING AND SCHEDULING ATTRIBUTES
183
PREDICTION AND MATCHING FOR GRID RESOURCE MANAGEMENT
191
PERFORMANCE INFORMATION SERVICES FOR COMPUTATIONAL GRIDS
193
USING PREDICTED VARIANCE FOR CONSERVATIVE SCHEDULING ON SHARED RESOURCES
215
IMPROVING RESOURCE SELECTION AND SCHEDULING USING PREDICTIONS
237
THE CLASSADS LANGUAGE
255
QOSAWARE SERVICE COMPOSITION FOR LARGESCALE PEERTOPEER SYSTEMS
395
RESOURCE MANAGEMENT IN PEERTOPEER ENVIRONMENTS
411
A PEERTOPEER APPROACH TO RESOURCE LOCATION IN GRID ENVIRONMENTS
413
RESOURCE MANAGEMENT IN THE ENTROPIA SYSTEM
431
RESOURCE MANAGEMENT FOR THE TRIANA PEERTOPEER SERVICES
451
GRID RESOURCE COMMERCIALIZATION
465
TRADING GRID SERVICES WITHIN THE UK ESCIENCE GRID
479
APPLYING ECONOMIC SCHEDULING METHODS TO GRID ENVIRONMENTS
491
References
507
Index
567
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