TY - GEN
T1 - OpenDBDDAS Toolkit: Secure MapReduce and Hadoop-like Systems
AU - Fabiano, Enrico
AU - Seo, Mookwon
AU - Wu, Xiaoban
AU - Douglas, Craig
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2015/6/1
Y1 - 2015/6/1
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/556722
UR - http://linkinghub.elsevier.com/retrieve/pii/S1877050915011102
UR - http://www.scopus.com/inward/record.url?scp=84939162055&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2015.05.302
DO - 10.1016/j.procs.2015.05.302
M3 - Conference contribution
SP - 1675
EP - 1684
BT - Procedia Computer Science
PB - Elsevier BV
ER -