MapReduce: MR Model Abstraction for Future Security Study

Ning Zhang, Ibrahim Lahmer

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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    Abstract

    MapReduce is a new parallel programming paradigm proposedto process large amount of data in a distributed setting.Since its introduction, there have been efforts to improvethe architecture of this model making it more efficient,secure and scalable. In parallel with these developments,there are also efforts to implement and deploy MapReduce,and one of its most popular open source implementationis Hadoop. Some more recent practical MapReduce implementationshave made architectural changes to the originalMapReduce model, e.g., those by Facebook and IBM. Thesearchitectural changes may have implications to the designof solutions to secure MapReduce. To inform these changesand to serve any future design of such solutions, this paperattempts to build a generic MapReduce computation modelcapturing the main features and properties of the most recentMapReduce implementations.
    Original languageEnglish
    Title of host publicationthe 7th International Conference on Security of Information and Networks (SIN’14)
    PublisherAssociation for Computing Machinery
    Publication statusPublished - Sep 2014
    Eventthe 7th International Conference on Security of Information and Networks (SIN’14) - Glasgow, UK
    Duration: 9 Sep 201411 Sep 2014

    Conference

    Conferencethe 7th International Conference on Security of Information and Networks (SIN’14)
    CityGlasgow, UK
    Period9/09/1411/09/14

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