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

delete2014-06-01
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PRE
AI
G
Gang Chen *
T
Tianlei Hu
D
Dawei Jiang
L
Lu Peng
K
Kian‐Lee Tan
伍赛 (Sai Wu)
DOI:10.1109/TKDE.2012.236delete
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Abstract

Abstract

En 中文
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.
Keywords:
Peer-to-peer systems
cloud computing
MapReduce
query processing
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Journal

IEEE Transactions on Knowledge and Data Engineering cover
IEEE Transactions on Knowledge and Data Engineering
IF:
10.4
Papers:
6.7K
Citations:
3.2W

Organization

N
National University of Singapore
Scholars:
7.5W
Papers: 6.4W
Citations: 11.4W
Z
zhejiang university
Scholars:
17.4W
Papers: 12.0W
Citations: 152