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The Hybrid Architecture for the Secure Exchange of Data in E-Governance Applications


Affiliations
1 Department of Computer Science, PSG College of Arts & Science, Coimbatore, India
2 Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, India
     

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This paper provides a design framework for the adoption of Grid Computing for E-governance applications. It enables citizens to make best use of automated administration processes that are accessible on-line. In this paper, we illustrate the creation of a virtual environment by using existing Grid technologies to specific e-governance applications on distributed resources. Grid computing is an ideal solution to this type of applications and the paper presents how grid computing can be used to effectively and efficiently handle such huge data. Also this paper discusses the requirements of the clients of an advance reservation service and a distributed architecture for such a service. It has been tested using Grid Simulation Toolkit called GridSim. The experimental results shown that the new reservation algorithm can lead to significant performance gain in various applications.

Keywords

Advance Reservation, Scheduling, Heterogeneous System, Grid Simulation, Meta Schedule, Grid Service Provider, Task Graph and Runtime Estimates.
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  • The Hybrid Architecture for the Secure Exchange of Data in E-Governance Applications

Abstract Views: 191  |  PDF Views: 1

Authors

P. Sumathi
Department of Computer Science, PSG College of Arts & Science, Coimbatore, India
M. Punithavalli
Department of Computer Science, Sri Ramakrishna College of Arts and Science for Women, Coimbatore, India

Abstract


This paper provides a design framework for the adoption of Grid Computing for E-governance applications. It enables citizens to make best use of automated administration processes that are accessible on-line. In this paper, we illustrate the creation of a virtual environment by using existing Grid technologies to specific e-governance applications on distributed resources. Grid computing is an ideal solution to this type of applications and the paper presents how grid computing can be used to effectively and efficiently handle such huge data. Also this paper discusses the requirements of the clients of an advance reservation service and a distributed architecture for such a service. It has been tested using Grid Simulation Toolkit called GridSim. The experimental results shown that the new reservation algorithm can lead to significant performance gain in various applications.

Keywords


Advance Reservation, Scheduling, Heterogeneous System, Grid Simulation, Meta Schedule, Grid Service Provider, Task Graph and Runtime Estimates.