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    Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments (Premier Reference Source) (Hardback) Edited by Lizhe Wang, Edited by Jinjun Chen, Edited by Wei Jie

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    DescriptionDistinguished 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. Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments defines and characterizes the latest research achievements in grid computing. This book provides an important reference for academicians, practitioners, and researchers in fields such as parallel and distributed computing, high performance computing, and grid computing.

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    Quantitative Quality of Service for Grid Computing
    Applications for Heterogeneity, Large-Scale Distribution, and Dynamic Environments
    Authors and contributors
    Edited by Lizhe Wang, Edited by Jinjun Chen, Edited by Wei Jie
    Physical properties
    Format: Hardback
    Number of pages: 528
    Width: 218 mm
    Height: 287 mm
    Thickness: 36 mm
    Weight: 1,746 g
    ISBN 13: 9781605663708
    ISBN 10: 1605663700

    BIC E4L: COM
    Nielsen BookScan Product Class 3: S10.2
    Ingram Subject Code: XG
    Libri: I-XG
    LC subject heading:
    Warengruppen-Systematik des deutschen Buchhandels: 16360
    LC subject heading:
    BISAC V2.8: COM005000, COM061000
    DC22: 004.36
    LC subject heading:
    BIC subject category V2: UKG
    LC subject heading: ,
    LC classification: 2008040206
    Thema V1.0: UFL, UKG
    Illustrations note
    1, black & white illustrations
    IGI Global
    Imprint name
    Information Science Reference
    Publication date
    16 March 2011
    Publication City/Country
    Author Information
    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).
    Table of contents
    Automatic service composition Cost-based resource management Dynamic network optimization Ensuring grid workflows Establishing quality of service guarantees Grid workflows with encompassed business relationships Replication-based grid systems Resource management strategies Quantitative quality of service for grid computing Workflow scheduling