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Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments [Kõva köide]

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  • Formaat: Hardback, 474 pages, kaal: 1758 g, Illustrations
  • Ilmumisaeg: 31-May-2009
  • Kirjastus: Information Science Reference
  • ISBN-10: 1605663700
  • ISBN-13: 9781605663708
Teised raamatud teemal:
  • Formaat: Hardback, 474 pages, kaal: 1758 g, Illustrations
  • Ilmumisaeg: 31-May-2009
  • Kirjastus: Information Science Reference
  • ISBN-10: 1605663700
  • ISBN-13: 9781605663708
Teised raamatud teemal:
"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 xviii
Acknowledgment xxiv
Two Approaches for Workflow Scheduling with Quality of Service in the Grid
1(27)
Fangpeng Dong
Selim G. Akl
Dynamic Network Optimization for Effective QoS Support in Large Grid Infrastructures
28(18)
Francesco Palmieri
Ugo Fiore
From Enabling to Ensuring Grid Workflows
46(28)
Junwei Cao
Fan Zhang
Ke Xu
Lianchen Liu
Cheng Wu
The Cost-Based Resource Management in Combination with QoS for Grid Computing
74(17)
Chuliang Weng
Jian Cao
Minglu Li
Providing Quantitative Scalability Improvement of Consistency Control for Large-Scale, Replication-Based Grid Systems
91(19)
Yijun Lu
Hong Jiang
Ying Lu
QoS-Based Job Scheduling and Resource Management Strategies for Grid Computing
110(18)
Kuo-Chan Huang
Po-Chi Shih
Yeh-Ching Chung
Grid Workflows with Encompassed Business Relationships: An Approach Establishing Quality of Service Guarantees
128(18)
Dimosthenis Kyriazis
Andreas Menychtas
Theodora Varvarigou
Investigationg Deadline-Driven Scheduling Policy via Simulation with East
146(10)
Justin M. Wozniak
Aaron Striegel
Achieving QoS in Highly Unreliable Grid Environments
156(25)
Antonios Litke
Implementation and QoS for High-Performance GIServices in Spatial Information Grid
181(23)
Fang Huang
The Interactive Computing of Web Knowledge Flow: From Web to Knowledge Web
204(15)
Xiangfeng Luo
Yu Jie
Reputation Evaluation Framework Based on QoS in Grid Economy Environments
219(14)
Guanfeng Liu
Yongsheng Hao
Distributed Scheduling Protocols for Energy Efficient Large-Scale Wireless Sensor Networks
233(16)
Cheng Fu
Bang Wang
A QSQL-Based Service Collaboration Method for Automatic Service Composition, and Optimized Execution
249(22)
Kaijun Ren
Jinjun Chen
Nong Xiao
Weimin Zhang
Junqiang Song
Hands-On Experience in Building Institutional Grid Infrastructure
271(28)
Xiaoyu Yang
Gen-Tao Chiang
A Grid Aware Large-Scale Agent-Based Simulation System
299(21)
Dan Chen
E-Portfolio to Promote the Virtual Learning Group Communities on the Grid
320(18)
Guy Gouarderes
Emilie Conte
QoS-Aware Web Services Discovery with Federated Support for UDDI
338(25)
Chen Zhou
Liang-Tien Chia
Bu-Sung Lee
The Key Requirements for Deploying Knowledge Management Services in a Semantic Grid Environment
363(17)
Mirghani Mohamed
Michael Stankosky
Vincent Ribiere
Karma2: Provenance Management for Data-Driven Workflows
380(24)
Yogesh L. Simmhan
Beth Plale
Dennis Gannon
Ontology-Based Construction of Grid Data Mining Workflows
404(31)
Peter Brezany
Ivan Janciak
A Min Tjoa
Optimization Algorithms for Data Transfer in the Grid Environment
435(16)
Muzhou Xiong
Hai Jin
Compilation of References 451(34)
About the Contributors 485(10)
Index 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).