CFP: IEEE JSAC - Advances in Peer-to-Peer Streaming Systems

Dr. Danny Tsang eetsang at ECE.UST.HK
Mon Dec 18 21:33:22 EST 2006

We apologize if you receive multiple copies of this CFP.


IEEE Journal on Selected Areas in Communications

Advances in Peer-to-Peer Streaming Systems

Peer-to-peer (P2P) file sharing, emerging with Napster in 1999, has become
increasingly popular, accounting for as much as 70% of Internet traffic by
some estimates. Along with the widespread adoption of broadband
residential access and the increasing demand of multimedia service over
the Internet, we are now witnessing the emergence of a new class of
popular P2P applications, namely, P2P audio and video streaming. Popular
P2P video streaming applications have successfully demonstrated the
support of thousands of concurrent peers per channel at bit rates in
excess of 400 kbps. While traditional P2P file distribution applications
are targeted for elastic data transfers, P2P streaming focuses on the
efficient delivery of audio and video content under tight timing
requirements. Still in its infancy, both live and on-demand P2P streaming
present many research challenges.

To date, a number of architectures have been suggested by using either the
tree-based push approach (e.g., Narada and SplitStream) or the mesh-based
pull approach (e.g., CoolStream) which basically divides the media content
into blocks for trading among peers. Further improvements are possible by
taking advantage of advanced source and channel coding techniques such as
layered coding, multiple description codes, fountain codes, and network
coding. Given the initial success of P2P live streaming, questions still
remain about how to extend the existing peer-to-peer models for more
advanced applications with more stringent requirements such as
video-on-demand services and how to support live and on-demand streaming
in the same P2P network. Furthermore, with the wide deployment of wireless
networks (WLAN, ad hoc, and 3G networks) and various wireless backhaul
technologies (wireless mesh networks and WiMax), there are still open
research challenges on how to realize a large-scale P2P media streaming
over highly dynamic wireless channels and with user mobility.

This special issue solicits original state-of-the-art works addressing all
aspects related to supporting peer-to-peer multimedia content distribution
service from both theoretical and implementation aspects. It aims at
putting together a collection of the latest high-quality research results
in this area. Topics of interest include, but are not limited to:

* Novel live or on-demand P2P streaming architectures
* Traffic measurement and deployment experience
* Topology design and locality aware P2P system
* Performance evaluation and analysis
* Applications of advanced coding techniques
* Security issues
* Routing and QoS provisioning
* Digital rights management
* Content partitioning and block scheduling algorithms
* Wireless P2P streaming
* Peer-matching algorithms for efficient media distribution
* Cross-layer design

Prospective authors should follow the IEEE J-SAC manuscript format
described in All papers should be submitted in
PDF format via email to Danny H.K. Tsang, eetsang at, according to
the following timetable. Along with the paper submission, authors are also
requested to submit a cover letter via email to the above email address,
which contains the paper title, authors with affiliations, and an

          Submission deadline:                   March 1, 2007
          Acceptance notification:                  July 1, 2007
          Final manuscript due:                      September 1, 2007
          Publication of issue:                        First Quarter 2008

Guest Editors

Danny H.K. Tsang
Dept. of Electronic & Computer Engineering
Hong Kong University of Science & Technology
Clear Water Bay, Hong Kong
eetsang at

Keith W. Ross
Dept. of Computer & Information Science
Polytechnic University
Six MetroTech Center, Brooklyn, NY, USA 11201
ross at

Jin Li
Communication & Collaboration Systems
Microsoft Research
Redmond, WA, USA
jinl at

Pablo Rodriguez
Systems & Networking Research Group
Microsoft Research
Cambridge, U.K.
pablo at

Hui Zhang
Computer Science Department
Carnegie Mellon University
Pittsburgh, PA, USA 15213
hzhang at

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