14. Market-Oriented Cloud Computing and The Cloudbus Toolkit

  1. Hamid Sarbazi-Azad2 and
  2. Albert Y. Zomaya3
  1. Rajkumar Buyya,
  2. Suraj Pandey and
  3. Christian Vecchiola

Published Online: 25 OCT 2013

DOI: 10.1002/9781118640708.ch14

Large Scale Network-Centric Distributed Systems

Large Scale Network-Centric Distributed Systems

How to Cite

Buyya, R., Pandey, S. and Vecchiola, C. (2013) Market-Oriented Cloud Computing and The Cloudbus Toolkit, in Large Scale Network-Centric Distributed Systems (eds H. Sarbazi-Azad and A. Y. Zomaya), John Wiley & Sons, Inc., Hoboken, New Jersey. doi: 10.1002/9781118640708.ch14

Editor Information

  1. 2

    Sharif University of Technology and Institute for Research in Fundamental Sciences (IPM) Tehran, Iran

  2. 3

    School of Information Technologies, The University of Sydney, Sydney, Australia

Author Information

  1. Cloud Computing and Distributed Systems (CLOUDS) Lab, Department of Computing and Information Systems, The University of Melbourne, Melbourne, Australia

Publication History

  1. Published Online: 25 OCT 2013
  2. Published Print: 18 OCT 2013

ISBN Information

Print ISBN: 9780470936887

Online ISBN: 9781118640708

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Keywords:

  • cloud vision;
  • Cloudbus;
  • market-oriented cloud computing

Summary

This chapter introduces the fundamental concepts of market-oriented Cloud computing systems and presents a reference model. The model, together with the state-of-the-art technologies presented in the chapter, contribute significantly towards the mainstream adoption of Cloud computing technology. However, any technology brings with it new challenges and breakthroughs. The chapter focuses on the major challenges faced by the industry when adopting Cloud computing as a mainstream technology as part of the distributed computing paradigm. It presents a utility-oriented Cloud vision that is a generic model for realizing market-oriented Cloud computing vision. Cloudbus realized this by developing various tools and platforms that can be used individually or together as an integrated solution. The author's demonstrate through experiments that their toolkit can provide applications based on deadline, optimize cost and time of applications, and manage real-world problems through an integrated solution.