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Cost efficient scheduling of MapReduce applications on public clouds

Zeng, Xuezhi; Garg, Saurabh Kumar; Wen, Zhenyu; Strazdins, Peter; Zomaya, Albert Y; Ranjan, Rajiv


MapReduce framework has been one of the most prominent ways for efficient processing large amount of data requiring huge computational capacity. On-demand computing resources of Public Clouds have become a natural host for these MapReduce applications. However, the decision of what type and in what amount computing and storage resources should be rented is still a user’s responsibility. This is not a trivial task particularly when users may have performance constraints such as deadline and have...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Journal article
Source: Journal of Computational Science
DOI: 10.1016/j.jocs.2017.07.017


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