Resource Management in Utility and Cloud Computing

Nonfiction, Computers, Networking & Communications, Hardware, Advanced Computing, Information Technology, General Computing
Cover of the book Resource Management in Utility and Cloud Computing by Han Zhao, Xiaolin Li, Springer New York
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Author: Han Zhao, Xiaolin Li ISBN: 9781461489702
Publisher: Springer New York Publication: October 17, 2013
Imprint: Springer Language: English
Author: Han Zhao, Xiaolin Li
ISBN: 9781461489702
Publisher: Springer New York
Publication: October 17, 2013
Imprint: Springer
Language: English

This SpringerBrief reviews the existing market-oriented strategies for economically managing resource allocation in distributed systems. It describes three new schemes that address cost-efficiency, user incentives, and allocation fairness with regard to different scheduling contexts. The first scheme, taking the Amazon EC2™ market as a case of study, investigates the optimal resource rental planning models based on linear integer programming and stochastic optimization techniques. This model is useful to explore the interaction between the cloud infrastructure provider and the cloud resource customers. The second scheme targets a free-trade resource market, studying the interactions amongst multiple rational resource traders. Leveraging an optimization framework from AI, this scheme examines the spontaneous exchange of resources among multiple resource owners. Finally, the third scheme describes an experimental market-oriented resource sharing platform inspired by eBay's transaction model. The study presented in this book sheds light on economic models and their implication to the utility-oriented scheduling problems.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This SpringerBrief reviews the existing market-oriented strategies for economically managing resource allocation in distributed systems. It describes three new schemes that address cost-efficiency, user incentives, and allocation fairness with regard to different scheduling contexts. The first scheme, taking the Amazon EC2™ market as a case of study, investigates the optimal resource rental planning models based on linear integer programming and stochastic optimization techniques. This model is useful to explore the interaction between the cloud infrastructure provider and the cloud resource customers. The second scheme targets a free-trade resource market, studying the interactions amongst multiple rational resource traders. Leveraging an optimization framework from AI, this scheme examines the spontaneous exchange of resources among multiple resource owners. Finally, the third scheme describes an experimental market-oriented resource sharing platform inspired by eBay's transaction model. The study presented in this book sheds light on economic models and their implication to the utility-oriented scheduling problems.

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