Resource management in utility and cloud computing
By: Han Zhao, Xiaolin Li
Contributors: Li, Xiaolin, 1973- author
Series: Springer briefs in computer science; SpringerBriefs in computer science
Publisher: Springer
Published: 2013
Place of publication: New York
Language: eng
Number of pages: 82
ISBN-13: 9781461489696
Copyright date: 2013
Subjects: Cloud computing; Economic aspects; Computers and IT
Description: 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.
Notes: Includes bibliographical references.
Table of contents: title: Introduction; title: Optimal Resource Rental Management; title: Efficient and Fair Resource Trading Management; title: Flexible Resource Sharing Management; title: Conclusion and Future Work.