A Novel Approach For Large-Scale D ata Processing Platform On Peer- To- Peer Based Bestpeer++

Abstract

We introduce BestPeer++, a framework which conveys versatile information sharing administrations for corporate system applications in the cloud taking into account BestPeer—a distributed (P2P) based information administration stage. By incorporating distributed computing, database, and P2P innovations into one framework, BestPeer++provides a sparing, adaptable and versatile stage for corporate system applications and conveys information sharing administrations to members taking into account the broadly acknowledged pay-as-you-go plan of action. We assess BestPeer++ on Amazon EC2 Cloud stage. The benchmarking results demonstrate that BestPeer++ beats HadoopDB, an as of late proposed substantial scale information preparing framework, in execution when both frameworks are utilized to handle normal corporate system workloads.

Authors and Affiliations

V. Prasanthi| Department of CSE, SIR C R REDDY college of engineering, ELURU, West Godavari District, AP, India, N. Anusha| Department of CSE, SIR C R REDDY college of engineering, ELURU, West Godavari District, AP, India

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  • EP ID EP16589
  • DOI -
  • Views 328
  • Downloads 23

How To Cite

V. Prasanthi, N. Anusha (2015). A Novel Approach For Large-Scale D ata Processing Platform On Peer- To- Peer Based Bestpeer++. International Journal of Science Engineering and Advance Technology, 3(10), 686-689. https://europub.co.uk/articles/-A-16589