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An Improved Map Reduced Framework for Mobile Computing


Dheeraj S Patil , Alard College of Engineering Pune; Abhijit J Patankar, Computer Department, D.Y.P.C.O.E Akurdi Pune; Nikita Singhi, Alard College of Engineering Pune; Vaishali D Patil, SKNSITS


Mobile Computing, Map Reduced Framework, MDFS


We had seen new technology trend over a last few decades where mobile communication has come to next level by upgrading its superfast computation by increased processor and memory. But still they lack behind the high computation software system to process big data. To overcome on this many researcher are working on to build a scalable platform with the help of Hadoop distributed storage and computational capabilities on clusters of commodity hardware. Building Hadoop on a mobile network allows the devices to run knowledge intensive computing applications while not direct information of underlying distributed systems complexities. Our aim is to build a scalable and integrated system using Hadoop HDFS file system to process high end and big data size application on mobile computing.

Other Details

Paper ID: IJSRDV7I70354
Published in: Volume : 7, Issue : 7
Publication Date: 01/10/2019
Page(s): 550-553

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