INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Hadoop is a scalable platform that provides scattered storage and computational capabilities on clusters of commodity hardware. To Build Hadoop on a mobile network allows the devices to run data focused computing applications without direct knowledge of underlying distributed systems complications. The new groups of mobile devices have high dispensation control and storage, but they lag behind in terms of software systems for big data storage and dispensation. We have developed the Hadoop Map Reduce framework over MDFS and have studied its performance by varying input jobs in a real assorted mobile cluster. However, these applications have simple energy and reliability restraints For example caused by unexpected device failures or topology changes in a dynamic network. Our assessment shows that the execution addresses all restraints in treating large amounts of data in mobile clouds. Thus, our system is a practical solution to meet the growing demands of data dispensation in a mobile atmosphere.
Keywords:
Mobile clouds, Hadoop.
Cite Article:
"Map reduce for mobile clouds using Hadoop technology.", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 7, page no.393 - 396, July-2020, Available :http://www.ijsdr.org/papers/IJSDR2007054.pdf
Downloads:
000337074
Publication Details:
Published Paper ID: IJSDR2007054
Registration ID:192099
Published In: Volume 5 Issue 7, July-2020
DOI (Digital Object Identifier):
Page No: 393 - 396
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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