Comparing map-reduce and FREERIDE for data-intensive applications
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IEEE
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http://xplorestaging.ieee.org/ielx5/5281774/5289120/05289199.pdf?arnumber=5289199
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Applying the K-Means Algorithm in Big Raw Data Sets with Hadoop and MapReduce;Business Intelligence;2016
2. Design adaptive task allocation scheduler to improve MapReduce performance in heterogeneous clouds;Journal of Network and Computer Applications;2015-11
3. Generate-map-reduce: An extension to map-reduce to support shared data and recursive computations;Concurrency and Computation: Practice and Experience;2013-04-04
4. Comparison of Map–Reduce and SQL on large-scale data processing;Journal of the Chinese Institute of Engineers;2013-01
5. Applying the K-Means Algorithm in Big Raw Data Sets with Hadoop and MapReduce;Big Data Management, Technologies, and Applications
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