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BestPeer++: A Peer-to-Peer Based Large-Scale Data Processing Platform

The corporate network is often used for sharing information among the participating companies and facilitating collaboration in a certain industry sector where companies share a common interest. It can effectively help the companies to reduce their operational costs and increase the revenues. Howeve...

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Bibliographic Details
Published in:IEEE transactions on knowledge and data engineering 2014-06, Vol.26 (6), p.1316-1331
Main Authors: Chen, Gang, Hu, Tianlei, Jiang, Dawei, Lu, Peng, Tan, Kian-Lee, Vo, Hoang Tam, Wu, Sai
Format: Article
Language:English
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Summary:The corporate network is often used for sharing information among the participating companies and facilitating collaboration in a certain industry sector where companies share a common interest. It can effectively help the companies to reduce their operational costs and increase the revenues. However, the inter-company data sharing and processing poses unique challenges to such a data management system including scalability, performance, throughput, and security. In this paper, we present BestPeer++, a system which delivers elastic data sharing services for corporate network applications in the cloud based on BestPeer - a peer-to-peer (P2P) based data management platform. By integrating cloud computing, database, and P2P technologies into one system, BestPeer++ provides an economical, flexible and scalable platform for corporate network applications and delivers data sharing services to participants based on the widely accepted pay-as-you-go business model. We evaluate BestPeer++ on Amazon EC2 Cloud platform. The benchmarking results show that BestPeer++ outperforms HadoopDB, a recently proposed large-scale data processing system, in performance when both systems are employed to handle typical corporate network workloads. The benchmarking results also demonstrate that BestPeer++ achieves near linear scalability for throughput with respect to the number of peer nodes.
ISSN:1041-4347
1558-2191
DOI:10.1109/TKDE.2012.236