An Analysis of different Scheduling Approaches used in Grid Computing

Authors(3) :-Aman Baria, Dharam Singh Meena, Raksha Pandey

Grid computing is considered as a very high performance computing environment to solve complex computational problems. It comprises of job scheduling, security, resource management, information management. The scheduling concept is needed for better management of resources. Scheduling refers to order of jobs which satisfy the metrics like satisfaction of user, completion time etc. Better scheduling policy in grid computing helps in improving performance, computational cost, load balancing and increases reliability and availability of resources. This paper end up with brief description of existing scheduling algorithms by considering different metrics used to prove importance of existing techniques.

Authors and Affiliations

Aman Baria
Department of Computer Science and Engineering, Institute of Technology, Guru Ghasidas Vishwavidyalaya , Bilaspur(C.G), India
Dharam Singh Meena
Department of Computer Science and Engineering, Institute of Technology, Guru Ghasidas Vishwavidyalaya , Bilaspur(C.G), India
Raksha Pandey
Assistant Professor , Department of Computer Science and Engineering, Institute of Technology, Guru Ghasidas Vishwavidyalaya ,Bilaspur(C.G), India

Grid Computing; Load Balancing; Makespan; Resource Utilization; Scheduling; User Deadline; Latency; Cost.

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 492-497
Manuscript Number : CSEIT1725109
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Aman Baria, Dharam Singh Meena, Raksha Pandey, "An Analysis of different Scheduling Approaches used in Grid Computing", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.492-497, September-October-2017.
Journal URL : http://ijsrcseit.com/CSEIT1725109

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