Please use this identifier to cite or link to this item:
|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|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on May 20, 2019
WEB OF SCIENCETM
checked on May 20, 2019
checked on May 25, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.