Analytical Performance Models for MapReduce Workloads-Reference-Cited by-同舟云学术

Analytical Performance Models for MapReduce Workloads

Published:2012-11-27 Issue:4 Volume:41 Page:495-525
ISSN:0885-7458
Container-title:International Journal of Parallel Programming
language:en
Short-container-title:Int J Parallel Prog

Author:

Vianna Emanuel,Comarela Giovanni,Pontes Tatiana,Almeida Jussara,Almeida Virgílio,Wilkinson Kevin,Kuno Harumi,Dayal Umeshwar

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s10766-012-0227-4.pdf

Reference38 articles.

1. Apache Software Foundation, Powered by Hadoop. URL http://wiki.apache.org/hadoop/PoweredBy . Access date: 1 July 2012 (2012)

2. Apache Software Foundation, Official Apache Hadoop Website. URL http://hadoop.apache.org/ . Accessed date: 1 July 2012 (2012)

3. Berlińska J., Drozdowski M.: Scheduling divisible MapReduce computations. J. Parallel Distrib. Comput. 71(3), 450–459 (2011)

4. Chen, Y., Ganapathi, A., Griffith R., Katz, R.: The case for evaluating MapReduce performance using workload suites. In: Proceedings of the 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), Singapore, pp. 390–399 (2011)

5. Condie, T., Conway, N., Alvaro, P., Hellerstein, J.M., Elmeleegy, K., Sears R.: MapReduce Online Proceedings of the 7th USENIX Conference on Networked Systems Design and Implementation (NSDI), San Jose, California, pp. 21–35 (2010)

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