References

Chen, Q., D. Zhang, M. Guo, Q. Deng and S. Guo, 2010. SAMR: A self-adaptive mapreduce scheduling algorithm in heterogeneous environment. Proceedings of the IEEE 10th International Conference on Computer and Information Technology, June 29-July 1, 2010, Bradford, UK., pp: 2736-2743.

Chen, R., H. Chen and B. Zang, 2010. Tiled-map reduce: Optimizing resource usages of data-parallel applications on multicore with tiling. Proceedings of the 19th International Conference on Parallel Architectures and Compilation Techniques, September 11-15, 2010, ACM, Vienna, Austria, ISBN:978-1-4503-0178-7, ACM, Vienna, Austria, ISBN:978-1-4503-0178-7,-534.

Dean, J. and S. Ghemawat, 2008. Map Reduce: Simplified data processing on large clusters. Commun. ACM., 51: 107-113.
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Hu, W., C. Tian, X. Liu, H. Qi and L. Zha et al., 2010. Multiple-job optimization in MapReduce for heterogeneous workloads. Proceedings of the 6th International Conference on Semantics Knowledge and Grid, November 1-3, 2010, Beijing, China, pp: 135-140.

Rao, B.T., N.V. Sridevi, V.K. Reddy and L.S.S. Reddy, 2012. Performance issues of heterogeneous hadoop clusters in cloud computing. Global J. Comput. Sci. Technol., Vol. 6,

Yang, S.J. and Y.R. Chen, 2015. Design adaptive task allocation scheduler to improve MapReduce performance in heterogeneous clouds. J. Network Comput. Appl., 57: 61-70.
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