Quantitative quality of service for grid computing: applications for heterogeneity, large-scale distribution and dynamic environments

Wang, Lizhe, Chen, Jinjun and Jie, Wei ORCID: https://orcid.org/0000-0002-5392-0009 (2009) Quantitative quality of service for grid computing: applications for heterogeneity, large-scale distribution and dynamic environments. IGI Global. ISBN 9781605663715

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Abstract

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.

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.

Item Type: Book
Keywords: Automatic service composition, Cost-based resource management, Dynamic network optimization, Ensuring grid workflows, Establishing quality of service guarantees, Grid workflows with encompassed business relationships, Quantitative quality of service for grid computing, Replication-based grid systems, Resource management strategies, Workflow scheduling
Subjects: Computing
Depositing User: Vani Aul
Date Deposited: 18 Dec 2013 11:43
Last Modified: 28 Aug 2021 07:16
URI: https://repository.uwl.ac.uk/id/eprint/554

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