"This book provides research into parallel & distributed computing, high performance computing, and Grid computing"--Provided by publisher.
This work characterizes the latest research on the use of quality of service (QoS) in grid computing, for academicians, engineers, IT professionals, and researchers in fields such as parallel and distributed computing, high performance computing, cluster computing, and grid computing. The book examines grid QoS aspects in various layers, including the fabric, resource, connectivity, collective, and application layers. Grid infrastructure, resource management, workflow organization and scheduling, service oriented architecture, and grid applications are some areas examined. Some specific topics discussed include ontology-based construction of grid data mining workflows, and optimization algorithms for data transfer in the grid environment. This book can also be used as reference book for postgraduate students in computer science. Wang is affiliated with the Institute of Scientific Computing, Germany. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)
Preface |
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xviii | |
Acknowledgment |
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xxiv | |
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Two Approaches for Workflow Scheduling with Quality of Service in the Grid |
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1 | (27) |
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Dynamic Network Optimization for Effective QoS Support in Large Grid Infrastructures |
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28 | (18) |
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From Enabling to Ensuring Grid Workflows |
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46 | (28) |
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The Cost-Based Resource Management in Combination with QoS for Grid Computing |
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74 | (17) |
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Providing Quantitative Scalability Improvement of Consistency Control for Large-Scale, Replication-Based Grid Systems |
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91 | (19) |
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QoS-Based Job Scheduling and Resource Management Strategies for Grid Computing |
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110 | (18) |
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Grid Workflows with Encompassed Business Relationships: An Approach Establishing Quality of Service Guarantees |
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128 | (18) |
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Investigationg Deadline-Driven Scheduling Policy via Simulation with East |
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146 | (10) |
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Achieving QoS in Highly Unreliable Grid Environments |
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156 | (25) |
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Implementation and QoS for High-Performance GIServices in Spatial Information Grid |
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181 | (23) |
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The Interactive Computing of Web Knowledge Flow: From Web to Knowledge Web |
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204 | (15) |
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Reputation Evaluation Framework Based on QoS in Grid Economy Environments |
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219 | (14) |
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Distributed Scheduling Protocols for Energy Efficient Large-Scale Wireless Sensor Networks |
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233 | (16) |
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A QSQL-Based Service Collaboration Method for Automatic Service Composition, and Optimized Execution |
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249 | (22) |
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Hands-On Experience in Building Institutional Grid Infrastructure |
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271 | (28) |
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A Grid Aware Large-Scale Agent-Based Simulation System |
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299 | (21) |
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E-Portfolio to Promote the Virtual Learning Group Communities on the Grid |
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320 | (18) |
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QoS-Aware Web Services Discovery with Federated Support for UDDI |
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338 | (25) |
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The Key Requirements for Deploying Knowledge Management Services in a Semantic Grid Environment |
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363 | (17) |
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Karma2: Provenance Management for Data-Driven Workflows |
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380 | (24) |
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Ontology-Based Construction of Grid Data Mining Workflows |
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404 | (31) |
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Optimization Algorithms for Data Transfer in the Grid Environment |
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435 | (16) |
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Compilation of References |
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451 | (34) |
About the Contributors |
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485 | (10) |
Index |
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495 | |
Lizhe Wang currently is the assistant director of the Service Oriented Cyberinfrastructure Lab at Rochester Institute of Technology. Dr. Wang received his Bachelor and Master Degree from Tsinghua University, (China) and Doctor Degree from University Karlsruhe (German elite University), Germany, in 1998, 2001, and 2007 respectively. Dr. Wang��s research interests include parallel & distributed computing, cluster & Grid computing, and distributed information retrieval. Dr. Wang has published 3 books and more than 30 research papers at international conference and scientific journals. Jinjun Chen received his PhD degree in computer science and software engineering from Swinburne University of Technology, Melbourne (Australia, in 2007). He is currently a lecturer in Centre for Complex Software Systems and Services in the Faculty of Information and Communication Technologies at Swinburne University of Technology (Melbourne, Australia). His research interests include scientific workflow management, service oriented computing (engineering, planning, negotiation, agreement, verification and validation), workflow management and application in cloud computing environments, web services environments and generic service oriented computing environments, reliable workflow software systems, cloud computing. Wei Jie has been actively involved in the area of Parallel and Distributed Computing for many years, and published about fourty papers in international journals and conferences. His current research interests include grid computing and applications, decurity in distributed computing, parallel and distributed algorithms and languages, etc. Dr Wei Jie joined the University of Manchester (UK) on February 2007. Prior to this, Dr Wei Jie was a Senior Research Engineer at Singapore's National Institute of High Performance Computing. He received his BEng and MEng in Computer Science from Beijing University of Aeronautics and Astronautics (China) in 1993 and 1996, respectively. In 2002 he was awarded PhD in Computer Engineering from Nanyang Technological University (Singapore).