International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Apr. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 133
Paper Published : 1712
No. of Authors : 4737
  Journal Paper


Paper Title :
M2m Automation: Matlab-To-Map Reduce Automation

Author :Archana C S, Janani K, Nalini B S, Pooja Krishnan, Savita K Shetty

Article Citation :Archana C S ,Janani K ,Nalini B S ,Pooja Krishnan ,Savita K Shetty , (2014 ) " M2m Automation: Matlab-To-Map Reduce Automation " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 37-40, Volume-2,Issue-6

Abstract : Abstract- MapReduce is a very popular parallel programming model for cloud computing platforms, and has become an effective method for processing massive data by using a cluster of computers. Program language -to-MapReduce Automator is a possible solution to help traditional programmers easily deploy an application to cloud systems through translating sequential codes to MapReduce codes.M2M Automation mainly focuses on automating numerical computations by using hadoop at the back end. M2M automates Hadoop, for faster execution of Matlab commands using MapReduce code.

Type : Research paper

Published : Volume-2,Issue-6


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