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@article{159952,
        author = {I.Bhuvaneshwarri},
        title = {ENHANCING AVAILABILITY IN CLOUD ENVIRONMENT WITH RAID BASED  MAP REDUCE APPROACH},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {2},
        pages = {183-186},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159952},
        abstract = {One of the significant features of cloud computing is that computing is delivered via the Internet as services. Computing and IT resources are encapsulated as services, hiding all the details of implementation, deployment, maintenance and administration. Computing will be shifted from on premise systems to remote systems and users are connected to their data via the Internet. With cloud computing, deployment of IT systems and data storage is changed from on-premises user-owned IT infrastructures to off-premises third-party IT infrastructures. As the data is on the single cloud, data availability becomes a great challenge. Having the data on a single server scenario may breakdown at times, but in this work I split the big data and store that data under different server systems (multi server scenario), thus reduce the data loss and improve data availability. In this paper, I have introduced multi server scenario and use “Map Reduce” component of Hadoop with RAID level to improve the data storage and retrieval in cloud. It also increases the speed, performance, and integrity of the system.},
        keywords = {Cloud Computing, RAID, Map Reduce, Hadoop and multi server scenarios},
        month = {},
        }