International Journal of Electrical, Electronics and Data Communication (IJEEDC)
eISSN:2320-2084 , pISSN:2321-2950
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Statistics report
Jun. 2020
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 87
Paper Published : 1413
No. of Authors : 3823
  Journal Paper

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

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.


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

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