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- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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About this book
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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Table of contents (5 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: Resource Management in Utility and Cloud Computing
Authors: Han Zhao, Xiaolin Li
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-1-4614-8970-2
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Author(s) 2013
Softcover ISBN: 978-1-4614-8969-6Published: 18 October 2013
eBook ISBN: 978-1-4614-8970-2Published: 17 October 2013
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XII, 82
Number of Illustrations: 22 b/w illustrations
Topics: Computer Communication Networks, Information Systems Applications (incl. Internet), Communications Engineering, Networks, Computer Systems Organization and Communication Networks