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Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionNumerical Porous Media SRI Center (NumPor)
Date
2015-06-01Online Publication Date
2015-06-01Print Publication Date
2015Permanent link to this record
http://hdl.handle.net/10754/556722
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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 SciencePublisher
Elsevier BVJournal
Procedia Computer ScienceConference/Event name
International Conference on Computational Science, ICCS 2002Additional Links
http://linkinghub.elsevier.com/retrieve/pii/S1877050915011102ae974a485f413a2113503eed53cd6c53
10.1016/j.procs.2015.05.302