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|Title:||BestPeer++: A peer-to-peer based large-scale data processing platform||Authors:||Chen, G.
|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. https://doi.org/10.1109/ICDE.2012.18||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||URI:||http://scholarbank.nus.edu.sg/handle/10635/41249||ISSN:||10844627||DOI:||10.1109/ICDE.2012.18|
|Appears in Collections:||Staff Publications|
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