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The Game of Wall Cops and Robbers Read chapter Read first chapter

2016 | OriginalPaper | Chapter

An Efficient Approach for MapReduce Result Verification

Authors : K. Jiji, M. Abdul Nizar

Published in: Computational Intelligence, Cyber Security and Computational Models

Publisher: Springer Singapore

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Abstract

Hadoop follows a master-slave architecture and can process massive amount of data by using the MapReduce paradigm. The major problem associated with MapReduce is correctness of the results generated. Results can be altered and become wrong by the collaboration of malicious slave nodes. Credibility-based result verification is one of the effective methods to determine such malicious nodes and wrong results. The major limitation of the approach is that, it depends on the complete results of long-running jobs to identify malicious nodes and hence holds valuable resources. In this paper, we propose a new protocol called Intermediate Result Collection and Verification (IRCV) Protocol that prunes out unnecessary computations by collecting results for verification earlier in the execution line. In addition, unlike the previous approach, IRCV uses only a subset of nodes for the purpose. Our simulation experiments suggest that the new approach has improved performance and will lead to better utilization of resources.

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previous chapter Adaptive Equalization Algorithm for Electrocardiogram Signal Transmission
next chapter Improving Lifetime of Memory Devices Using Evolutionary Computing Based Error Correction Coding
Footnotes
1
DataNodes are also termed as WorkerNodes.
 
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Metadata
Title
An Efficient Approach for MapReduce Result Verification
Authors
K. Jiji
M. Abdul Nizar
Copyright Year
2016
Publisher
Springer Singapore
Book
Computational Intelligence, Cyber Security and Computational Models

Print ISBN: 978-981-10-0250-2

Electronic ISBN: 978-981-10-0251-9

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-981-10-0251-9_23

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