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Resource Management in Utility and Cloud Computing

  • Han Zhao
  • Xiaolin Li

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Han Zhao, Xiaolin Li
    Pages 1-14
  3. Han Zhao, Xiaolin Li
    Pages 15-36
  4. Han Zhao, Xiaolin Li
    Pages 37-56
  5. Han Zhao, Xiaolin Li
    Pages 57-77
  6. Han Zhao, Xiaolin Li
    Pages 79-82

About this book

Introduction

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.

Keywords

Cloud Computing Cost Optimization Resource Sharing Service Scheduling Utility Computing

Authors and affiliations

  • Han Zhao
    • 1
  • Xiaolin Li
    • 2
  1. 1.University of FloridaGainesvilleUSA
  2. 2.University of FloridaGainesvilleUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-8970-2
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-8969-6
  • Online ISBN 978-1-4614-8970-2
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site
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