文章基本信息

标题：MapReduce Based Implementation of Aggregate Functions on Cassandra
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作者：Anseh Danesh Arasteh ; Davud Mohammadpur ; Majid Meghdadi 等
期刊名称：International Journal of Electronics Communication and Computer Technology
印刷版ISSN：2249-7838
出版年度：2014
卷号：4
期号：3
出版社：International Journal of Electronics Communication and Computer Technology
摘要：MapReduce is a simple and powerful processing model that allows parallel scalable programs to run on large volume of data on massive cluster of computers. Besides, Cassandra is a popular database of NoSQL solutions. According to scientific knowledge, still there are no general suitable procedures to perform arbitrary calculations in this database on MapReduce model. So, in this paper we propose some procedures based on MapReduce model that are needed generally to perform variety of aggregate operations on Cassandra. Our evaluation, compare with the most common methods shows significant improvement in performance on multi- core computers and a set of peer machines
关键词：Cassandra; MapReduce; NoSQL; Processing ; model; Large volume of data