14. The MapReduce Programming Model and Implementations

  1. Rajkumar Buyya2,3,
  2. James Broberg2,
  3. Andrzej Goscinski4
  1. Hai Jin,
  2. Shadi Ibrahim,
  3. Li Qi,
  4. Haijun Cao,
  5. Song Wu,
  6. Xuanhua Shi

Published Online: 3 JAN 2011

DOI: 10.1002/9780470940105.ch14

Book Title

Cloud Computing: Principles and Paradigms

Cloud Computing: Principles and Paradigms

Additional Information

How to Cite

Jin, H., Ibrahim, S., Qi, L., Cao, H., Wu, S. and Shi, X. (2011) The MapReduce Programming Model and Implementations, 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.ch14

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. School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China

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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CHAPTER TOOLS

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Keywords:

  • MapReduce Programming Model and implementations - major MapReduce implementations for the cloud;
  • MapReduce Cloud Implementations;
  • MapReduce impacts and research directions

Summary

This chapter contains sections titled:

  • Introduction

  • MapReduce Programming Model

  • Major MapReduce Implementations for the Cloud

  • MapReduce Impacts and Research Directions

  • Conclusion

  • Acknowledgments

  • References

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