Migration of Hadoop To Android Platform Using ‘Chroot’
Author(s): Namrata B. Bothe, Snehal S. Karale, Anagha N. Mate, Nayan D. Kumbhar
Publication #: IJIRCT1201105
Date of Publication: 02.04.2016
Country: India
Pages: 486-488
Published In: Volume 1 Issue 5 April-2016
Abstract
Google’s MapReduce is one of the largest popular algorithms for big data processing. Moreover big data can be termed as large number of data to be process within short period of time. Its implementation Hadoop reduces time requirement, provides reliability, scalability and protection from node failure which are handled within the system itself simply utilizing commodity hardware. This project is intended to optimize the current Hadoop implementation on low energy consuming android devices. Since new android devices are becoming powerful with its dual, quad or octa core processors with 1 to 2 GB ram becoming common practice in mobile devices. We also intend to utilize this mobile power for industrial purposes so that we can save cost on even commodity hardware.
Keywords: mobile Hadoop, Hadoop on android, chroot, linux on android
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