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Resource Management in Utility and Cloud Computing

  • Book
  • © 2013

Overview

Authors:
  1. Han Zhao

    1. University of Florida, Gainesville, USA

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    You can also search for this author in PubMed   Google Scholar

  2. Xiaolin Li

    1. University of Florida, Gainesville, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

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

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xii
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  2. Introduction

    • Han Zhao, Xiaolin Li
    Pages 1-14

  3. Optimal Resource Rental Management

    • Han Zhao, Xiaolin Li
    Pages 15-36

  4. Efficient and Fair Resource Trading Management

    • Han Zhao, Xiaolin Li
    Pages 37-56

  5. Flexible Resource Sharing Management

    • Han Zhao, Xiaolin Li
    Pages 57-77

  6. Conclusion and Future Work

    • Han Zhao, Xiaolin Li
    Pages 79-82
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Keywords

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.

Authors and Affiliations

  • University of Florida, Gainesville, USA

    Han Zhao, Xiaolin Li

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