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@article{143983,
        author = {Y.Sowparaniga and S.Rajanandhini},
        title = {CLOUD COMPUTING ARCHITECTURE SUPPORTING E-GOVERNANCE},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {4},
        pages = {355-359},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=143983},
        abstract = {with the improvement of parallel computing, distributed computing, grid computing, a new computingform appear. The idea of computing comes from grid, public computing and SaaS. It is a new technique that share basic framework. The fundamental principle of cloud computing is to make the computing be assigned in a large number of distributed computers. The organization of the enterprise’s data center is just like Internet. This makes the enterprise use the source in the application that is wanted, and access computer and storage system according to the constraint. The development of high speed Internet access, Web 2.0 application and Virtualization techniques have made Cloud computing a most important edge technology. A user in ‘Cloud’ runs on web based application over Internet by browser by a desktop. Cloud computing provides dynamically scalable and virtual resources as a service over the network at a nominal initial investment. Data-center works as backbone in Cloud computing where a huge number of servers are networked to host computing & storage needs of the users. The area which needs more concentration is Latency Optimization for cloud design to work as everywhere as expected. Many data intensive applications create huge amounts of data which move on cloud network. As the cloud users develop, cloud architecture should contain huge number of data to avoid data congestion in the network. In this paper, an intelligent & energy capability on Cloud computing architecture is proposed based on distributed data-centers to maintain application and data access from local data-center with smallest latencies. It was found that the proposed architecture is efficient for company, suitable to apply for e-Governance and},
        keywords = {provides a green eco-friendly environment for Cloud computing.},
        month = {},
        }