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Comparative Study Load Balance Algorithms for Map Reduce Environment

Hesham A. Hefny, Mohamed Helmy Khafagy Ahmed M WahdanPublished in Information Technology

International Journal of Applied Information Systems
Year of Publication: 2014
© 2013 by IJAIS Journal
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  1. Hesham A Hefny, Mohamed Helmy Khafagy and Ahmed M Wahdan. Article: Comparative Study Load Balance Algorithms for Map Reduce Environment. International Journal of Applied Information Systems 7(11):41-50, November 2014. BibTeX

    	author = "Hesham A. Hefny and Mohamed Helmy Khafagy and Ahmed M Wahdan",
    	title = "Article: Comparative Study Load Balance Algorithms for Map Reduce Environment",
    	journal = "International Journal of Applied Information Systems",
    	year = 2014,
    	volume = 7,
    	number = 11,
    	pages = "41-50",
    	month = "November",
    	note = "Published by Foundation of Computer Science, New York, USA"


MapReduce is a famous model for data-intensive parallel com-puting in shared-nothing clusters. One of the main issues in MapReduce is the fact of depending its performance mainly on data distribution. MapReduce contains simple load balance technique based on FIFO job scheduler that serves the jobs in their submission order but unfortunately it is insufficient in real world cases as it missed many factors that impact the perfor-mance such as heterogeneity factor and data skewness, so Load balancing is important to make all resources utilized evenly and more efficiently. There are two main schemes in load balancing a- Static Load Balancing Schemes b- Dynamic load balancing. The main aim of this work is to study and compare existing Load Balance algorithms also to illustrate the features of Load Balance algorithms.


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Static Load Balance, Map reduce,Dynamic Load Balance,static load balance,comparative study