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Journal of Computer Networks and Communications
Volume 2011 (2011), Article ID 268987, 15 pages
http://dx.doi.org/10.1155/2011/268987
Research Article

Eucalyptus Cloud to Remotely Provision e-Governance Applications

1Ministry of Communications and Information Technology, Department of Information and Communication Technology, National Informatics Centre, New Delhi 110003, India
2Center For Data Engineering, International Institute of Information Technology, Hyderabad 500032, India

Received 10 November 2010; Revised 6 January 2011; Accepted 16 February 2011

Academic Editor: Daniele Tarchi

Copyright © 2011 Sreerama Prabhu Chivukula et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Remote rural areas are constrained by lack of reliable power supply, essential for setting up advanced IT infrastructure as servers or storage; therefore, cloud computing comprising an Infrastructure-as-a-Service (IaaS) is well suited to provide such IT infrastructure in remote rural areas. Additional cloud layers of Platform-as-a-Service (PaaS) and Software-as-a-Service (SaaS) can be added above IaaS. Cluster-based IaaS cloud can be set up by using open-source middleware Eucalyptus in data centres of NIC. Data centres of the central and state governments can be integrated with State Wide Area Networks and NICNET together to form the e-governance grid of India. Web service repositories at centre, state, and district level can be built over the national e-governance grid of India. Using Globus Toolkit, we can achieve stateful web services with speed and security. Adding the cloud layer over the e-governance grid will make a grid-cloud environment possible through Globus Nimbus. Service delivery can be in terms of web services delivery through heterogeneous client devices. Data mining using Weka4WS and DataMiningGrid can produce meaningful knowledge discovery from data. In this paper, a plan of action is provided for the implementation of the above proposed architecture.