• Mar 31, 2016 News!JACN Vol.3, No.3 has been indexed by EI (inspec)!   [Click]
  • Jun 24, 2016 News!JACN Vol.4, No.2 has been published with online version. 15 papres about advances in computer networks are published in this issue.   [Click]
  • Mar 31, 2016 News!JACN Vol.3, No.2 has been indexed by EI (inspec)!   [Click]
General Information
    • ISSN: 1793-8244
    • Frequency: Quarterly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Julia S. Ma
    • Abstracting/ Indexing: EI (INSPEC, IET), Engineering & Technology Digital Library, DOAJ, Electronic Journals Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Dr. Ka Wai Gary Wong
Department of Mathematics and Information Technology The Hong Kong Institute of Education, Hong Kong
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2015 Vol.3(4): 274-279 ISSN: 1793-8244
DOI: 10.18178/JACN.2015.3.4.181

Contribution-Enabled Congestion-Aware Scheme for P2P Real-Time Multimedia Streaming Systems

Cheng-Yun Ho, Ming-Hsiang Huang, and Chien-Chao Tseng
Abstract—In this article, a contribution-enabled congestion-aware (CECA) scheme is proposed to enhance the fairness and efficiency of content distribution, and improve the entire bandwidth utility for mesh peer-to-peer (P2P) real-time multimedia streaming systems. This is because the mesh P2P streaming system outperforms others in many aspects, but most content distribution mechanisms use only one of upload bandwidth and link latency as a factor that malfunctions the reward and punishment scheme. Besides, their congestion controls partially or mostly rely on the transport layer protocol such as transmission control protocol (TCP). Hence, the CECA dynamically adjusts a receiver peer’s content window size (CWS) based on the contribution and packet loss rate of the receiver peer. Furthermore, the CECA is implemented in NS2 and experimental results show that the CECA could at the most shorten the receiving time about 20.78%, 32.26%, 30.74%, and 26.18%, and improve the entire performance about 11.42%, 18.87%, 14.55%, and 14.19% at the most, when it compares with the BLACE, the Coolstreaming, the Coolstreaming with bandwidth preference, and the Coolstreaming with latency preference, respectively.

Index Terms—Contribution, congestion, contribution-enabled, congestion-aware, CECA, P2P streaming system.

C.-Y. Ho, M.-H. Huang, and C.-C. Tseng are with the Department of Computer Science, National Chiao Tung University, Hsinchu 300, Taiwan (e-mail: cyho@cs.nctu.edu.tw, mhhuang@cs.nctu.edu.tw, cctseng@cs.nctu.edu.tw).


Cite:Cheng-Yun Ho, Ming-Hsiang Huang, and Chien-Chao Tseng, "Contribution-Enabled Congestion-Aware Scheme for P2P Real-Time Multimedia Streaming Systems," Journal of Advances in Computer Networks vol. 3, no. 3, pp. 274-279, 2015.

Copyright © 2008-2016. Journal of Advances in Computer Networks.  All rights reserved.
E-mail: jacn@ejournal.net