OpenDBDDAS Toolkit: Secure MapReduce and Hadoop-like Systems
Enrico Fabiano, Mookwon Seo, Xiaoban Wu, Craig C. Douglas · Procedia Computer Science · 2015
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.