-------- Original-Nachricht -------- Betreff: [Tccc] CFP: IEEE JSAC - Advances in Peer-to-Peer Streaming Systems Datum: Thu, 26 Oct 2006 00:17:22 +0800 (HKT) Von: Dr. Danny Tsang eetsang@ee.ust.hk Antwort an: eetsang@ee.ust.hk An: tccc@cs.columbia.edu CC: eetsang@ece.ust.hk
CALL FOR PAPERS
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 http://www.jsac.ucsd.edu/. All papers should be submitted in PDF format via email to Danny H.K. Tsang, eetsang@ece.ust.hk, 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 abstract.
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@ece.ust.hk
Keith W. Ross Dept. of Computer & Information Science Polytechnic University Six MetroTech Center, Brooklyn, NY, USA 11201 ross@poly.edu
Jin Li Communication & Collaboration Systems Microsoft Research Redmond, WA, USA jinl@microsoft.com
Pablo Rodriguez Systems & Networking Research Group Microsoft Research Cambridge, U.K. pablo@microsoft.com
Hui Zhang Computer Science Department Carnegie Mellon University Pittsburgh, PA, USA 15213 hzhang@cs.cmu.edu
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