Issue No. 06 - June (2014 vol. 26)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TKDE.2012.236
Gang Chen , Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
Tianlei Hu , Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
Dawei Jiang , Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
Peng Lu , Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
Kian-Lee Tan , Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
Hoang Tam Vo , Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
Sai Wu , Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
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.
Peer to peer computing, Database systems, Query processing, Servers
Gang Chen et al., "BestPeer++: A Peer-to-Peer Based Large-Scale Data Processing Platform," in IEEE Transactions on Knowledge & Data Engineering, vol. 26, no. 6, pp. 1316-1331, 2014.