MapReduce Based Implementation of Aggregate Functions on Cassandra
Journal Title: International Journal of Electronics Communication and Computer Technology - Year 2014, Vol 4, Issue 3
Abstract
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 multicore computers and a set of peer machines.
Authors and Affiliations
Anseh Danesh Arasteh| Department of Computer and IT Islamic Azad University of Zanjan Zanjan, IRAN, Davud Mohammadpur| Department of Computer Engineering University of Zanjan Zanjan, IRAN, Majid Meghdadi| Faculty of Computer Engineering University of Zanjan Zanjan, Iran
Keywords
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- EP ID EP8391
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