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Title: BestPeer++: A peer-to-peer based large-scale data processing platform
Authors: Chen, G.
Hu, T.
Jiang, D. 
Lu, P.
Tan, K.-L. 
Vo, H.T. 
Wu, S. 
Issue Date: 2012
Citation: Chen, G., Hu, T., Jiang, D., Lu, P., Tan, K.-L., Vo, H.T., Wu, S. (2012). BestPeer++: A peer-to-peer based large-scale data processing platform. Proceedings - International Conference on Data Engineering : 582-593. ScholarBank@NUS Repository.
Abstract: 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 Best Peer++, a system which delivers elastic data sharing services for corporate network applications in the cloud based on Best Peer - a peer-to-peer (P2P) based data management platform. By integrating cloud computing, database, and P2P technologies into one system, Best Peer++ 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 Best Peer++ on Amazon EC2 Cloud platform. The benchmarking results show that Best Peer++ outperforms Hadoop DB, 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 Best Peer++ achieves near linear scalability for throughput with respect to the number of peer nodes. © 2012 IEEE.
Source Title: Proceedings - International Conference on Data Engineering
ISSN: 10844627
DOI: 10.1109/ICDE.2012.18
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