Research Article Open Access

Constructing a Grid Simulation for E-Governance Applications Using GridSim

Mrs. P. Sumathi1 and M. Punithavalli1
  • 1 ,
Journal of Computer Science
Volume 4 No. 8, 2008, 674-679

DOI: https://doi.org/10.3844/jcssp.2008.674.679

Submitted On: 30 September 2008 Published On: 31 August 2008

How to Cite: Sumathi, M. P. & Punithavalli, M. (2008). Constructing a Grid Simulation for E-Governance Applications Using GridSim. Journal of Computer Science, 4(8), 674-679. https://doi.org/10.3844/jcssp.2008.674.679

Abstract

This study provides a design framework for the adoption of grid computing for e-governance applications. Problem statement: E-Governance is the application of information and communication technology to achieve efficiency, effectiveness, transparency and accountability in Government to Government (G2G), Government to Employee (G2E), Government to Citizen (G2C) and Government to Business (G2B). It enables citizens to make best use of automated administration processes that are accessible on-line. Grid computing is an ideal solution to this type of applications and the study presents how grid computing can be used to effectively and efficiently handle such huge data. In this study, we illustrate the creation of a virtual environment by using existing Grid technologies to specific e-governance applications on distributed resources. Approach: A Grid generally refers to an infrastructure that involves the integrated and collaborative use of all computing resources into a single virtual computing environment. Grid applications often involve large amounts of data and/or computing resources that require secure resource sharing across organizational boundaries. Grid computing is an ideal solution to this type of applications and the study presents how grid computing can be used to effectively and efficiently handle such huge data. Results: The applications were run with the grid environment and without Grid environment. The results obtained were compared with the time and the number of jobs. The obtained results using grid environment were more significant and promising. Conclusions: Implementing an E-Governance solution will lower the cost of developing, deploying, managing government solutions and providing better services to citizens.

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Keywords

  • Grid computing
  • grid resource broker
  • scheduling