DOIONLINE

DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-823

Publish In
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC
Journal Home
Volume Issue
Issue
Volume-2,Issue-6  ( Jun, 2014 )
Paper Title
M2m Automation: Matlab-To-Map Reduce Automation
Author Name
Archana C S, Janani K, Nalini B S, Pooja Krishnan, Savita K Shetty
Affilition
M.S.Ramaiah Institute of Technology (Autonomous Institute, Affiliated to VTU),
Pages
37-40
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.
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