BestPeer++: A Peer-to-Peer based Large-scale Data Processing Platform

被引:3
|
作者
Chen, Gang
Hu, Tianlei
Jiang, Dawei
Lu, Peng
Tan, Kian-Lee
Vo, Hoang Tam
Wu, Sai
机构
关键词
D O I
10.1109/ICDE.2012.18
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:582 / 593
页数:12
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