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Scheduling in Hadoop Cluster: A ReviewBy Nagina ., Sunita Dhingra
Abstract: AbstractData generated by almost everything is electronically stored in the units of exabyte or zetabyte known as big data. For big data processing, Hadoop is considered as best choice. There are lots of challenges like storage, processing and resource allocation on the basis of job deadlines, QoS, budget, network bandwidth and data transmission. In order to solve these problems, various scheduling algorithms have been developed. These scheduling algorithms are classified …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 3, 2017 · pp. 26–31 Read article →