共 13 条
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A dynamic MapReduce scheduler forheterogeneous workloads. Chao T,Zhou H,He Y,et al. . 2009
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MapReduce Optimization using Regulated Dynamic Prioritization. T. Sandholm,K. Lai. ACM SIGMETRICS’’09: International Conference on Measurement and Modeling of Computer Systems . 2009
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Above the clouds: A Berkeley view of cloud computing. Armbrust,M.et al. UCB/EECS- 2009 -28 . 2009
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MapReduce[J] . Jeffrey Dean,Sanjay Ghemawat.  Communications of the ACM . 2008 (1)
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Leen:Locality/fairness-aware key partitioning for mapreduce in the cloud. S. Ibrahim,H. Jin,L. Lu,S. Wu,B. He,L. Qi. Cloud Computing Technology and Science, IEEE International Conference on . 2010
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Sampling-based Partitioning in MapReduce for SkewedData. Yujie Xu,Peng Zou, et al. Seventh ChinaGrid Annual Conference . 2011
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Improving MapReduce performance through data placement inheterogeneous Hadoop clusters. Xie J,Yin S,Ruan X,et al. Proc19th Intel Heterogeneity in ComputingWorkshop . 2010
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Improving MapReduce Performance via Heterogeneity-Load-Aware Partition Function. Huifeng Sun,Junliang Chen,ChuanChang Liu. IEEE International Conference on Cluster Computing . 2011
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Performance Management of Accelerated MapReduce Workloads in Heterogeneous Clusters. J. Polo,D. Carrera,Y. Becerra,J. Torres,E. Ayguadé,M. Steinder,I. Whalley. 2010 39th International Conference on Parallel Processing . 2010
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Improving MapReduce performance in heterogeneous environments. Zaharia M,Konwinski A,Joseph A,et al. 8th Symposium on Operating Systems Design and Implementation . 2008