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    OpenDBDDAS Toolkit: Secure MapReduce and Hadoop-like Systems

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    1-s2.0-S1877050915011102-main.pdf
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    Description:
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    Type
    Conference Paper
    Authors
    Fabiano, Enrico
    Seo, Mookwon
    Wu, Xiaoban
    Douglas, Craig
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Numerical Porous Media SRI Center (NumPor)
    Date
    2015-06-01
    Online Publication Date
    2015-06-01
    Print Publication Date
    2015
    Permanent link to this record
    http://hdl.handle.net/10754/556722
    
    Metadata
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    Abstract
    The OpenDBDDAS Toolkit is a software framework to provide support for more easily creating and expanding dynamic big data-driven application systems (DBDDAS) that are common in environmental systems, many engineering applications, disaster management, traffic management, and manufacturing. In this paper, we describe key features needed to implement a secure MapReduce and Hadoop-like system for high performance clusters that guarantees a certain level of privacy of data from other concurrent users of the system. We also provide examples of a secure MapReduce prototype and compare it to another high performance MapReduce, MR-MPI.
    Citation
    OpenDBDDAS Toolkit: Secure MapReduce and Hadoop-like Systems 2015, 51:1675 Procedia Computer Science
    Publisher
    Elsevier BV
    Journal
    Procedia Computer Science
    Conference/Event name
    International Conference on Computational Science, ICCS 2002
    DOI
    10.1016/j.procs.2015.05.302
    Additional Links
    http://linkinghub.elsevier.com/retrieve/pii/S1877050915011102
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.procs.2015.05.302
    Scopus Count
    Collections
    Conference Papers; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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