Evaluating MapReduce on Virtual Machines: The Hadoop Case

Author:

Ibrahim Shadi,Jin Hai,Lu Lu,Qi Li,Wu Song,Shi Xuanhua

Publisher

Springer Berlin Heidelberg

Reference22 articles.

1. Szalay, A., Bunn, A., Gray, J., Foster, I., Raicu, I.: The Importance of Data Locality in Distributed Computing Applications. In: Proceedings of the NSF Workflow Workshop (2006)

2. Ghemawat, S., Gobioff, H., Leung, S.T.: The Google file system. In: Proceedings of 19th ACM Symposium on Operating Systems Principles, pp. 29–43. ACM Press, New York (2003)

3. Dean, J., Ghemawat, S.: Mapreduce: simplified data processing on large clusters. In: Proceedings of 6th Conference on Operating Systems Design & Implementation (2004)

4. Hadoop, http://lucene.apache.org/hadoop

5. Ranger, C., Raghuraman, R., Penmetsa, A., Bradski, G., Kozyrakis, C.: Evaluating MapReduce for Multi-core and Multiprocessor Systems. In: Proceedings of 13th International Symposium on High Performance Computer Architecture, pp. 13–24. ACM Press, New York (2007)

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