MapReduce scheduling algorithms: a review
Recent trends in big data have shown that the amount of data continues to increase at an exponential rate. This trend has inspired many researchers over the past few years to explore new research direction of studies related to multiple areas of big data. The widespread popularity of big data proces...
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Main Authors: | , , , , , , , , , , |
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Format: | Article |
Language: | English English |
Published: |
Springer
2020
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/30281/1/MapReduce%20scheduling%20algorithms-%20a%20review.pdf http://umpir.ump.edu.my/id/eprint/30281/2/MapReduce%20scheduling%20algorithms-a%20review_FULL.pdf http://umpir.ump.edu.my/id/eprint/30281/ https://doi.org/10.1007/s11227-018-2719-5 https://doi.org/10.1007/s11227-018-2719-5 |
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http://umpir.ump.edu.my/id/eprint/30281/1/MapReduce%20scheduling%20algorithms-%20a%20review.pdfhttp://umpir.ump.edu.my/id/eprint/30281/2/MapReduce%20scheduling%20algorithms-a%20review_FULL.pdf
http://umpir.ump.edu.my/id/eprint/30281/
https://doi.org/10.1007/s11227-018-2719-5
https://doi.org/10.1007/s11227-018-2719-5