Empirical Evaluation of Grid Computing Emerged Resource Scheduling Algorithms

Authors

  • Dr. E. Chandra Blessie Associate Professor & Head Department of Computer Applications, Nehru College of Management, Coimbatore, Tamil Nadu Author
  • Pradeep Kumar P. Assistant Professor, Department of Computer Science, KPR College of Arts, Science and Research, Coimbatore, Tamil Nadu. Author

DOI:

https://doi.org/10.61841/kvp35e03

Keywords:

Grid Computing, Resource Scheduling, Local Scheduler, Global Scheduler, Resource Allocation.

Abstract

Grid computing is a group of computers that are physically connected over a network or the Internet to perform dedicated tasks together, such as analyzing e-commerce data, solving complex problems, and many other complicated jobs. Previously, many industries and additionally, research institutions are working in this emerging sector to overcome the existing issues and are also in process of enhancing the existing working methods to get better performances. In this paper, the authors suggested an enhanced model in the resource scheduling algorithm to enhance the performance of some existing methods. In the comparison segment, it shows that the proposed model provided better results than some existing models. The grid computing must be enhanced with a certain limit of interval to maintain the performances that are required for the real-time scenarios. 

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References

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Published

30.04.2020

Issue

Vol. 24 No. 2 (2020): 24 (2) 2020

Section

Articles

License

Copyright (c) 2020 AUTHOR

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How to Cite

E., C. B., & P., P. K. (2020). Empirical Evaluation of Grid Computing Emerged Resource Scheduling Algorithms. International Journal of Psychosocial Rehabilitation, 24(2), 5440-5448. https://doi.org/10.61841/kvp35e03