MRSim: A discrete event based MapReduce simulator

• Published in: 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery Vol. 6; pp. 2993 - 2997
• Main Authors: Hammoud, S, Maozhen Li, Yang Liu, Alham, Nasullah Khalid, Zelong Liu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.08.2010
• Subjects: Clustering algorithms; Computational modeling; Corporate acquisitions; Data models; Distributed databases; File systems; hadoop; MapReuce; Object oriented modeling; simulation
• ISBN: 1424459311; 9781424459315
• DOI: 10.1109/FSKD.2010.5569086

Recently MapReduce programming model is becoming popular for large scale data intensive distributed applications due to its efficiency, simplicity and ease of use. The Hadoop implementation of MapReduce is one of the most popular tools for many programmers due its ability to hide details of parallel programming from the users. However work on simulating the Hadoop environment is still in its infancy. Although there are a large number of simulating tools available to simulate distributed environments. However there are only a few simulators available which specifically targets the MapReduce environment. Based on testing we performed; the usability of these simulators is not satisfactory due to the simplified design which limits simulating jobs with variance configurations. We have designed and implemented a MapReduce simulator based on discrete event simulation called MRSim which accurately simulate the Hadoop environment. The simulator on one hand allows us to measure scalability of MapReduce based applications easily and quickly, on the other hand captures the effects of different configurations of Hadoop setup on MapReduce based applications behavior in terms of Hadoop job completion times and hardware utilization.