Achieving Accountable MapReduce in cloud computing

Volume: 30, Pages: 1 - 13
Published: Jan 1, 2014
Abstract
MapReduce is a programming model that is capable of processing large data sets in distributed computing environments. The original MapReduce model was designed to be fault-tolerant in case of various network abnormalities. However, fault-tolerance does not guarantee that each working machine will be completely accountable; when nodes are malicious, they may intentionally misrepresent the processing result during mapping or reducing, and they may...
Paper Details
Title
Achieving Accountable MapReduce in cloud computing
Published Date
Jan 1, 2014
Volume
30
Pages
1 - 13
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