Adaptive Bandwidth Allocation Strategy under Cloud Platform

Abstract

With the rapid development of cloud-computing technologies, more and more Internet applications appear with cloud platform. In this paper, cloud computing is introduced. Renting cloud platform which provides computing, storage, bandwidth resources can improve the performance of file sharing systems. The hybrid file sharing system combines P2P mode and cloud serving mode. This system provides both peer-assisted acceleration and cloud-assisted acceleration to download processes. Cloud bandwidth is scalable in the cloud-assisted file sharing system. In order to save cost while meeting QoS requirement, author conducts measurement and analysis on the QQ offline downloading system to find key factors which impact the cloud bandwidth consumption of download process. An adaptive cloud bandwidth rental and allocation strategy is proposed. The experimental results show that the system with this strategy not only ensures the quality of service but also slashed cloud bandwidth consumption.

References

Johan Pouwelse, Pawel Garbacki,Dick Epema, Henk Sips. The Bittorrent P2P File-Sharing System [J]. Measurements and Analysis Lecture Notes in Computer Science, 2005，Vol.36 (40), pp: 205-216.

[2] Yin H., Liu X., Zhan T., et al. Design and deployment of a hybrid CDN-P2P system for live video streaming experiences with Live Sky[C]. In Proceedings of ACM Multimedia (MM), 2009.

Xu D,Kulkami S., Rosenberg C, Chai H.. Analysis of a CDN-P2P hybrid architecture for cost-effective streaming media distribution [J]. Multimedia Systems, 2006.

Huang Y., Li Z., Liu G., et al. CloudDownload: Using Cloud Utilities to Achieve High-quality Content Distribution for Unpopular Videos[C]. Proceedings of ACM Multimedia (MM'11), 2011.

Ao N.X., Xu Y.Y.,Chen C.J. et al. Offline Downloading: A Non-Traditional Cloud-Accelerated and Peer-Assisted Content Distribution Service[C]. Proceeding of 2012 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC，12).

Qiu X.J, Li H.X., Wu C. Cost-Minimizing Dynamic Migration of Content Distribution Services into Hybrid Clouds[C]. Proceedings of the 31st IEEE International conference on computers and communications (ICC'12), 2012.

Li X, Yang Y. Trusted Data Acquisition Mechanism for Cloud Resource Scheduling Based on Distributed Agents [J]. China Communications, 2011, Vol.8 (6), pp: 108-116.

Liu Y., Pan J. The impact of NAT on BitTorrent-like P2P systems[C]. Proceeding of 9th IEEE Peer-to-Peer Computing (P2P’09), 2009.

Jin Li, Xinyi Huang, Jingwei Li, Xiaofeng Chen, Yang Xiang. Securely Outsourcing Attribute-based Encryption with Checkability. IEEE Transactions on Parallel and Distributed Systems, vol. 25(8), pp: 2201-2210, 2014.

Jin Li, Xiaofeng Chen, Mingqiang Li, Jingwei Li, Patrick Lee, Wenjing Lou. Secure Deduplication with Efficient and Reliable Convergent Key Management. IEEE Transactions on Parallel and Distributed Systems, vol. 25(6), pp: 1615-1625, 2014.

Vol 39, No 4 (2015)

Authors

  • HongLi Chen Software School, East China Jiaotong University，Nanchang, China
  • ShanGuo Lv Software School, East China Jiaotong University，Nanchang, China

Downloads

Published

12/22/2015

How to Cite

Chen, H., & Lv, S. (2015). Adaptive Bandwidth Allocation Strategy under Cloud Platform. Informatica, 39(4). Retrieved from https://www.informatica.si/index.php/informatica/article/view/1094

Issue

Vol. 39 No. 4 (2015)

Section

Special issue papers

License

Authors retain copyright in their work. By submitting to and publishing with Informatica, authors grant the publisher (Slovene Society Informatika) the non-exclusive right to publish, reproduce, and distribute the article and to identify itself as the original publisher.

All articles are published under the Creative Commons Attribution license CC BY 3.0. Under this license, others may share and adapt the work for any purpose, provided appropriate credit is given and changes (if any) are indicated.

Authors may deposit and share the submitted version, accepted manuscript, and published version, provided the original publication in Informatica is properly cited.