An Analysis of different Scheduling Approaches used in Grid Computing

Authors

  • 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

Keywords:

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

Abstract

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.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-10-31

Issue

Volume 2, Issue 5, September-October-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Aman Baria, Dharam Singh Meena, Raksha Pandey, " An Analysis of different Scheduling Approaches used in Grid Computing, IInternational 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.