Performance Analysis of Adapting a MapReduce Framework to Dynamically Accommodate Heterogeneity

Author:

Hartog Jessica,DelValle Renan,Govindaraju Madhusudhan,Lewis Michael J.

Publisher

Springer Berlin Heidelberg

Reference17 articles.

1. Apache Hadoop. http://hadoop.apache.org

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4. Starr, D.L., Bloom, J.S., Brewer, J.M., Butler, N., Clein, C.: A map/reduce parallelized framework for rapidly classifying astrophysical transients. In: Astronomical Data Analysis Software and Systems XIX, Series, vol. 434. ASP Conference Series (2010)

5. Zaharia, M., Konwinski, A., Joseph, A.D., Katz, R., Stoica, I.: Improving mapreduce performance in heterogeneous environments. In: Proceedings of the 8th USENIX Conference on Operating Systems Design and Implementation, Series, OSDI 2008, pp. 29–42. USENIX Association, Berkeley (2008). http://dl.acm.org/citation.cfm?id=1855741.1855744

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