9781605663708-1605663700-Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-scale Distribution, and Dynamic Environments

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

ISBN-13: 9781605663708
ISBN-10: 1605663700
Edition: Illustrated
Author: Jinjun Chen, Lizhe Wang, Wei Jie
Publication date: 2009
Publisher: Information Science Reference
Format: Hardcover 528 pages
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Book details

ISBN-13: 9781605663708
ISBN-10: 1605663700
Edition: Illustrated
Author: Jinjun Chen, Lizhe Wang, Wei Jie
Publication date: 2009
Publisher: Information Science Reference
Format: Hardcover 528 pages

Summary

Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-scale Distribution, and Dynamic Environments (ISBN-13: 9781605663708 and ISBN-10: 1605663700), written by authors Jinjun Chen, Lizhe Wang, Wei Jie, was published by Information Science Reference in 2009. With an overall rating of 4.4 stars, it's a notable title among other books. You can easily purchase or rent Quantitative Quality of Service for Grid Computing: Applications for Heterogeneity, Large-scale Distribution, and Dynamic Environments (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.38.

Description

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.
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