Failure detector abstractions for MapReduce-based systems

Information Sciences, pp. 112-127, 2017.

Cited by: 6|Bibtex|Views13|DOI:https://doi.org/10.1016/j.ins.2016.08.013
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Other Links: dblp.uni-trier.de|academic.microsoft.com|www.sciencedirect.com

Abstract:

Omission failures represent an important source of problems in data-intensive computing systems. In these frameworks, omission failures are caused by slow tasks, known as stragglers, which can strongly jeopardize the workload performance. In the case of MapReduce-based systems, many state-of-the-art approaches have preferred to explore an...More

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