21. Resource Cloud Mashups

  1. Rajkumar Buyya2,3,
  2. James Broberg2,
  3. Andrzej Goscinski4
  1. Lutz Schubert,
  2. Matthias Assel,
  3. Alexander Kipp,
  4. Stefan Wesner

Published Online: 3 JAN 2011

DOI: 10.1002/9780470940105.ch21

Cloud Computing: Principles and Paradigms

Cloud Computing: Principles and Paradigms

How to Cite

Schubert, L., Assel, M., Kipp, A. and Wesner, S. (2011) Resource Cloud Mashups, in Cloud Computing: Principles and Paradigms (eds R. Buyya, J. Broberg and A. Goscinski), John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/9780470940105.ch21

Editor Information

  1. 2

    Department of Computer Science and Software Engineering, The University of Melbourne, Parkville, Melbourne, VIC 3010, Australia

  2. 3

    Manjrasoft Pty Ltd., Australia

  3. 4

    School of Information Technology, Deakin University, Geelong, Victoria 3217, Australia

Author Information

  1. High Performance Computing Center Stuttgart (HLRS), University of Stuttgart, 70550 Stuttgart, Germany

Publication History

  1. Published Online: 3 JAN 2011
  2. Published Print: 28 FEB 2011

ISBN Information

Print ISBN: 9780470887998

Online ISBN: 9780470940105

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Keywords:

  • resource cloud mashups;
  • cloud mashups, realized in different ways - covering differing scopes, depending on their actual purpose;
  • realize efficient cloud mashups on infrastructure level - distributed data and segmented image management, combined to handle additional size created by virtualizing the machine

Summary

This chapter contains sections titled:

  • Introduction

  • Concepts of a Cloud Mashup

  • Realizing Resource Mashups

  • Conclusions

  • References