Comparative Study Load Balance Algorithms for Map Reduce Environment
نویسندگان
چکیده
منابع مشابه
Comparative Study Load Balance Algorithms for Map Reduce environment
MapReduce is a famous model for data-intensive parallel computing 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 man...
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Navpreet Singh M. tech Scholar, CSE & IT Deptt., BBSB Engineering College, Fatehgarh Sahib, Punjab, India (IKG – Punjab Technical University, Jalandhar) [email protected] Dr. Kanwalvir Singh Dhindsa Professor, CSE & IT Deptt., BBSB Engineering College, Fatehgarh Sahib, Punjab, India (IKG – Punjab Technical University, Jalandhar) [email protected] -----------------------------...
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There are the following techniques that are used to analyze massive amounts of data: MapReduce paradigm, parallel DBMSs, column-wise store, and various combinations of these approaches. We focus in a MapReduce environment. Unfortunately, join algorithms is not directly supported in MapReduce. The aim of this work is to generalize and compare existing equi-join algorithms with some optimization ...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/ijais14-451261