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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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Bibliographic Details
Main Authors: Hashem, Ibrahim Abaker Targio, Nor Badrul, Anuar, Marjani, Mohsen, Ahmed, Ejaz, Chiroma, Haruna, Ahmad Firdaus, Zainal Abidin, Muhamad Taufik, Abdullah, Faiz, Alotaibi, Mahmoud Ali, Waleed Kamaleldin, Yaqoob, Ibrar, Abdullah, Gani
Format: Article
Language:English
English
Published: Springer 2020
Subjects:
QA76 Computer software
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.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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