Franklin

Resource Management in Utility and Cloud Computing [electronic resource] / by Han Zhao, Xiaolin Li.

Author/Creator:
Zhao, Han author., Author,
Publication:
New York, NY : Springer New York : Imprint: Springer, 2013.
Format/Description:
Book
1 online resource (XII, 82 pages) : 22 illustrations
Edition:
1st ed. 2013.
Series:
Computer Science (Springer-11645)
SpringerBriefs in computer science 2191-5768
SpringerBriefs in Computer Science, 2191-5768
Contained In:
Springer eBooks
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Subjects:
Computer networks.
Application software.
Electrical engineering.
Computer organization.
Local subjects:
Computer Communication Networks. (search)
Information Systems Applications (incl. Internet). (search)
Communications Engineering, Networks. (search)
Computer Systems Organization and Communication Networks. (search)
System Details:
text file PDF
Summary:
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.
Contents:
Introduction
Optimal Resource Rental Management
Efficient and Fair Resource Trading Management
Flexible Resource Sharing Management
Conclusion and Future Work.
Contributor:
Li, Xiaolin, author., Author,
SpringerLink (Online service)
Other format:
Printed edition:
Printed edition:
ISBN:
978-1-4614-8970-2
9781461489702
Publisher Number:
10.1007/978-1-4614-8970-2 doi
Access Restriction:
Restricted for use by site license.