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Process Resource Allocation in Grid Computing using Priority Scheduler

by Mayank Kumar Maheshwari, Abhay Bansal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 46 - Number 11
Year of Publication: 2012
Authors: Mayank Kumar Maheshwari, Abhay Bansal
10.5120/6954-9541

Mayank Kumar Maheshwari, Abhay Bansal . Process Resource Allocation in Grid Computing using Priority Scheduler. International Journal of Computer Applications. 46, 11 ( May 2012), 20-23. DOI=10.5120/6954-9541

@article{ 10.5120/6954-9541,
author = { Mayank Kumar Maheshwari, Abhay Bansal },
title = { Process Resource Allocation in Grid Computing using Priority Scheduler },
journal = { International Journal of Computer Applications },
issue_date = { May 2012 },
volume = { 46 },
number = { 11 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 20-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume46/number11/6954-9541/ },
doi = { 10.5120/6954-9541 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:39:29.142136+05:30
%A Mayank Kumar Maheshwari
%A Abhay Bansal
%T Process Resource Allocation in Grid Computing using Priority Scheduler
%J International Journal of Computer Applications
%@ 0975-8887
%V 46
%N 11
%P 20-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Grid Computing has emerged as an important new field focusing on resource sharing. One of the most challenging issues in Grid Computing is efficient scheduling of tasks. Load Balancing is a technique to improve parallelism, utilization of resources increasing throughput managing and to reduce response time through proper distribution of the tasks. Generally there are three type of phases related to Load balancing i. e. Information Collection, Decision Making, Data Migration. In this paper, we propose a Load balancing algorithm for optimal scheduling. It scheduled the task by minimum completion time and rescheduled by waiting time of each task to obtain load balance. This algorithm scheme tries to provide optimal solution so that it reduces the execution time and expected price for the execution of all the jobs in the grid system is minimized. Load balancing algorithms is of two types, static and dynamic. Our algorithms in this paper based on dynamic nature.

References
  1. Sashi Tarun, Neeti Sharma Grid Computing: A Collaborative Approach in Distributed Environment for Achieving Parallel Performance and Better Resource Utilization,2011
  2. Dr. K. Vivekanandan, D. Ramyachitra, Professor, BSMED, Bharathiar University, Coimbatore, Tamil Nadu, IndiaA Study on Scheduling in Grid Environment ,feb 2011
  3. Prabhat Kr. Srivastava Improving Performance in Load Balancing Problem on the Grid Computing System, feb 2011
  4. Gregor von laszewaski, Ian Foster, Argonne National Laboratory, Designing Grid Based Problem solving Environments.
  5. Junwei Cao1, Daniel P. Spooner, Stephen A. Jarvis, and Graham R. Nudd, Grid Load Balancing Using Intelligent Agents.
  6. B. Yagoubi , Department of Computer Science, Faculty of Sciences, University of Oran and Y. Slimani , Department of Computer Science, Faculty of Sciences Tunis, Task Load Balancing Strategy for Grid Computing .
  7. Rajkumar Buyya and S Venugopal, "A Gentle Introduction to Grid Computing andTechnologies",http://www. buyya. com/papers/GridIntroCSI2005. pdf
  8. Gregor von laszewaski, Ian Foster, Argonne National Laboratory, Designing Grid Based Problem solving Environments.
  9. Junwei Cao1, Daniel P. Spooner, Stephen A. Jarvis, and Graham R. Nudd, Grid Load Balancing Using Intelligent Agents.
  10. Nakai J. Pricing computing resources: Reading between the lines and beyond. Technical report, National Aeronautics and Space Administration, 2002.
  11. K. Somasundaram, S. Radhakrishnan, Task Resource Allocation in Grid using Swift Scheduler, Int. J. of Computers, Communications & Control, ISSN 1841-9836, E-ISSN 1841-9844, Vol. IV, 2009.
  12. Hai Zhuge, Xiaoping Sun, Jie Liu, Erlin Yao, and XueChen, A Scalable P2P Platform for the Knowledge Grid
  13. Klaus Krauter, Rajkumar Buyya, and Muthucumaru Maheswaran, a Taxonomy and Survey of Grid ResourceManagement Systems
  14. Akinwunmi A. O. , Aderounmu G. A. , Onifade O. F. W. Enhanced Accounting Scheme for Grid Computing Architecture International Journal of Computer Applications (0975 – 8887) Volume 37– No. 9
  15. Manoj Kumar Mishra, Prithviraj Mohanty, G. B. Mund A Time-minimization Dynamic Job Grouping-based Scheduling in Grid Computing International Journal of Computer Applications (0975 – 8887) Volume 40– No. 16
Index Terms

Computer Science
Information Sciences

Keywords

Computational Grid load Balancing Priority Scheduler Execution Cost Resource Monitoring.

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