期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2016
卷号：5
期号：9
页码：2382-2388
出版社：Shri Pannalal Research Institute of Technolgy
摘要：MapReduce is a programming prototype that enablesfor huge scalability across hundreds or thousands of servers ina Hadoop. MapReduce is extensively used daily around theworld as an efficient distributed computation tool for a hugeclass of problems such as search, clustering, log analysis,different types of join operations, pattern matching, matrixmultiplication and analysis of social networks. Privacy andsecurity of data and MapReduce computations are significantconcerns when a MapReduce computation is implements inpublic or hybrid clouds. In order to perform a MapReducefunctions in hybrid and public clouds, authentication ofmappers-reducers, privacy of data-computations, Integrity andreliability of data-computations and freshness-correctness ofthe outputs are mandatory. Satisfying these necessities defendthe operation from a number of types of attacks on data andMapReduce computations.
