An Efficient Distributed for Grid Resource with PH-PSO

Authors

  • Hariharan R. Assistant Professor, Department of Mechanical Engineering, BIST, BIHER, Bharath Institute of Higher Education & Research, Selaiyur, Chennai. Author
  • Shalini N. Assistant Professor, Dept. of Information Technology, Maharaja Engineering College, Avinashi Author
  • Monica Bhavani M. Assistant Professor, Dept. of Information Technology, Maharaja Engineering College, Avinashi Author
  • Yogeswari K. Assistant Professor, Dept. of Information Technology, Maharaja Engineering College, Avinashi Author
  • Rakesh Kumar P. Assistant Professor, Dept. of Information Technology, Maharaja Engineering College, Avinashi Author

DOI:

https://doi.org/10.61841/v8rqrf90

Keywords:

Grid Resource, PH-PSO, Efficient Distributed, (GridRM).

Abstract

 Grid computing is a term referring to the combination of computer resources from multiple administrative domains to reach a common goal. The grid can be thought of as a distributed system with noninteractive workloads that involve a large number of files. There are mainly two mechanisms for acquiring information of grid resources: grid resource monitoring and grid resource prediction. Timely acquiring resource status information is of great importance in ensuring overall performance of grid computing. This work aims at building a distributed system for grid resource monitoring and prediction. We present the design and evaluation of system architecture for grid resource monitoring and prediction. We discuss the key issues for system implementation, including machine learning-based methodologies for modeling and optimization of resource prediction models. Evaluations are performed on a prototype system. Our experimental results indicate that the efficiency and accuracy of our system meet the demand of online system for grid resource monitoring and prediction. 

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Published

31.08.2019

How to Cite

An Efficient Distributed for Grid Resource with PH-PSO. (2019). International Journal of Psychosocial Rehabilitation, 23(3), 31-38. https://doi.org/10.61841/v8rqrf90