ICIEMS 2015

International Conference on Information Engineering, Management and Security 2015

 


ICIEMS 2015 Kokula Krishna Hari K
Publication Meta Value
Short Title ICIEMS 2015
Publisher ASDF, India
ISBN 13 978-81-929742-7-9
ISBN 10 81-929742-7-8
Language English
Type Hard Bound - Printed Book
Copyrights ICIEMS Organizers / DCRC, London, UK
Editor-in-Chief Kokula Krishna Hari K
Conference Dates 13 - 14, August 2015
Venue Country IITM-RP, Chennai, India
Submitted Papers 410
Acceptance Rate 4.11%
Website www.iciems.in

Paper 054


ENHANCING MAP-REDUCE JOB EXECUTION ON GEODISTRIBUTED DATA ACROSS DATACENTERS

ENHANCING MAP-REDUCE JOB EXECUTION ON GEODISTRIBUTED DATA ACROSS DATACENTERS

JEBILLA P1, P JAYASHREE2

1M.E Computer Science & Engineering, 2Associate Professor, Dept of Computer Science and Technology, 1, 2 Anna University-MIT Campus.

Abstract

In Recent era the size of the data set we need to handle grows rapidly. Efficiently analyzing Big data has always been an issue in our current era. Cloud computing along with the implementations of MapReduce framework provides a parallel processing model and associated implementation to process huge amount of data. In cloud, in many scenarios the input data set are geographically distributed across datacenters. This paper deals with enhancing the MapReduce job execution on the geo distributed data. Possible execution paths are analyzed. A Data Transformation Graph is used to determine the schedules for the job sequences which are optimized using the Shortest Path Algorithm. The proposed model deals with the extending of the Existing Dijkstra’s Algorithm to consider the node weight in addition to the edge weight. Ozzie workflow and mapper side joins are used to reduce the execution time and cost. As shown by the comparisons the execution time of the MapReduce job execution has been enhanced.

Author's Profile

JEBILLA P : Profile

P JAYASHREE : Profile

Cite this Article as Follows

JEBILLA P, P JAYASHREE. "ENHANCING MAP-REDUCE JOB EXECUTION ON GEODISTRIBUTED DATA ACROSS DATACENTERS." International Conference on Information Engineering, Management and Security (2015): 323-327. Print.