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Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments Book

Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments
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Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments, Distinguished from conventional parallel and distributed computing, the innovative field of grid computing focuses on resources shared among geographically distributed sites, providing high qualitative services for users and applications. Quantitati, Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments
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  • Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments
  • Written by author Lizhe Wang
  • Published by IGI Global, 2009
  • Distinguished from conventional parallel and distributed computing, the innovative field of grid computing focuses on resources shared among geographically distributed sites, providing high qualitative services for users and applications. Quantitati
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Authors

Ch. I Two Approaches for Workflow Scheduling with Quality of Service in the Grid Fangpeng Dong Dong, Fangpeng Selim G. Akl Akl, Selim G. 1

Ch. II Dynamic Network Optimization for Effective QoS Support in Large Grid Infrastructures Francesco Palmieri Palmieri, Francesco Ugo Fiore Fiore, Ugo 28

Ch. III From Enabling to Ensuring Grid Workflows Junwei Cao Cao, Junwei Fan Zhang Fan, Zhang Ke Xu Xu, Ke Lianchen Liu Liu, Lianchen Cheng Wu Cheng, Wu 46

Ch. IV The Cost-Based Resource Management in Combination with QoS for Grid Computing Chuliang Weng Weng, Chuliang Jian Cao Jian, Cao Minglu Li Li, Minglu 74

Ch. V Providing Quantitative Scalability Improvement of Consistency Control for Large-Scale, Replication-Based Grid Systems Yijun Lu Lu, Yijun Hong Jiang Hong, Jiang Ying Lu Ying, Lu 91

Ch. VI QoS-Based Job Scheduling and Resource Management Strategies for Grid Computing Kuo-Chan Huang Huang, Kuo-Chan Po-Chi Shih Shih, Po-Chi Yeh-Ching Chung Chung, Yeh-Ching 110

Ch. VII Grid Workflows with Encompassed Business Relationships: An Approach Establishing Quality of Service Guarantees Dimosthenis Kyriazis Kyriazis, Dimosthenis Andreas Menychtas Menychtas, Andreas Theodora Varvarigou Varvarigou, Theodora 128

Ch. VIII Investigating Deadline-Driven Scheduling Policy via Simulation with East Justin M. Wozniak Wozniak, Justin M. Aaron Striegel Striegel, Aaron 146

Ch. IX Achieving QoS in Highly Unreliable Grid Environments Antonios Litke Litke, Antonios 156

Ch. X Implementation and QoS for High-Performance GIServices in Spatial Information Grid Fang Huang Fang, Huang 181

Ch. XI The Interactive Computing of Web Knowledge Flow: From Web to Knowledge Web Xiangfeng Luo Luo,Xiangfeng Yu Jie Yu, Jie 204

Ch. XII Reputation Evaluation Framework Based on QoS in Grid Economy Environments Guanfeng Liu Liu, Guanfeng Yongsheng Hao Hao, Yongsheng 219

Ch. XIII Distributed Scheduling Protocols for Energy Efficient Large-Scale Wireless Sensor Networks Cheng Fu Cheng, Fu Bang Wang Bang, Wang 233

Ch. XIV A QSQL-Based Service Collaboration Method for Automatic Service Composition, and Optimized Execution Kaijun Ren Ren, Kaijun Jinjun Chen Chen, Jinjun Nong Xiao Xiao, Nong Weimin Zhang Zhang, Weimin Junqiang Song Song, Junqiang 249

Ch. XV Hands-On Experience in Building Institutional Grid Infrastructure Xiaoyu Yang Yang, Xiaoyu Gen-Tao Chiang Chiang, Gen-Tao 271

Ch. XVI A Grid Aware Large-Scale Agent-Based Simulation System Dan Chen Chen, Dan 299

Ch. XVII E-Portfolio to Promote the Virtual Learning Group Communities on the Grid Guy Gouarderes Gouarderes, Guy Emilie Conte Conte, Emilie 320

Ch. XVIII QoS-Aware Web Services Discovery with Federated Support for UDDI Chen Zhou Chen, Zhou Liang-Tien Chia Chia, Liang-Tien Bu-Sung Lee Lee, Bu-Sung 338

Ch. XIX The Key Requirements for Deploying Knowledge Management Services in a Semantic Grid Environment Mirghani Mohamed Mohamed, Mirghani Michael Stankosky Stankosky, Michael Vincent Ribiere Ribiere, Vincent 363

Ch. XX Karma2: Provenance Management for Data-Driven Workflows Yogesh L. Simmhan Simmhan, Yogesh L. Beth Plale Plale, Beth Dennis Gannon Gannon, Dennis 380

Ch. XXI Ontology-Based Construction of Grid Data Mining Workflows Peter Brezany Brezany, Peter Ivan Janciak Janciak, Ivan A. Min Tjoa Tjoa, A. Min 404

Ch. XXII Optimization Algorithms for Data Transfer in the Grid Environment Muzhou Xiong Xiong, Muzhou Hai Jin Hai, Jin 435

Compilation of References 451

Index 495


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Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments, Distinguished from conventional parallel and distributed computing, the innovative field of grid computing focuses on resources shared among geographically distributed sites, providing high qualitative services for users and applications.
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Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments, Distinguished from conventional parallel and distributed computing, the innovative field of grid computing focuses on resources shared among geographically distributed sites, providing high qualitative services for users and applications.
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Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments

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