Difference between revisions of "pCDN"

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This project employs the peer-to-peer (P2P) computing paradigm in designing large-scale content distribution systems. The P2P paradigm provides: (i) improved scalability by aggregating resource contributions from peers (end user machines) and reducing the reliance on centralized servers, (ii) reduced cost by utilizing already-deployed resources and eliminating the need for expensive infrastructure, and (iii) rapid deployability by performing all processing at the end systems.  
= Peer-assisted Content Distribution Network =
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We investigate the applicability of the peer-to-peer (P2P) computing paradigm in designing large-scale content distribution systems. The P2P paradigm provides: (i) improved scalability by aggregating resource contributions from peers (end user machines) and reducing the reliance on centralized servers, (ii) reduced cost by utilizing already-deployed resources and eliminating the need for expensive infrastructure, and (iii) rapid deployability by performing all processing at the end systems. The focus of the research is on real-time media streaming for asynchronous client requests distributed over large time scales.
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Major content distribution networks, such as Akamai, consider the P2P paradigm as a real threat for their content distribution business. This is because the P2P paradigm may achieve similar services with a fraction of the cost. However, there are several research challenges that need to be addressed to enable the P2P paradigm to achieve this potential. In this research, we tackle these research challenges. Our goal is to develop a fully functional and reliable P2P content distribution system, which we call pCDN. Several steps have been made towards that goal. In fact, we already have a  beta version of pCDN 1.0.
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pCDN will provide high-quality multimedia content, support heterogeneous clients, impose minimal load on the expensive inter-ISP links, provide on-demand as well as live streaming services, ensure data integrity, implement digital rights management, among other features. All features are based on novel algorithms developed by our group. An overview of pCDN and its features can be found in this [http://www.cs.sfu.ca/~mhefeeda/Papers/pCDN07.pdf White Paper.] The white paper also summarizes the main differences between pCDN and common P2P file-sharing systems such as BitTorrent and Gnutella.
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pCDN is developed in partnership with the [http://www.cbc.ca Canadian Broadcasting Corporation] (CBC). CBC is the largest Internet content provider in Canada with millions of online users consuming a huge amount of bandwidth, which costs CBC millions of dollars each year. The objective of pCDN is to offset some of these costs while providing better streaming services to clients. pCDN 1.0 is currently in the final testing phases by CBC to be released to the public. Testing is being performed on small Internet streaming services, and the system will gradually evolve to larger-scale important services.
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Funding for the pCDN project is provided by a research grant from CBC, CRD and RTI grants from [http://www.nserc.ca NSERC], and a few [http://www.mitacs.ca MITACS] Research Internships. We appreciate their support.  
  
Currently, there is a significant interest in the academic and industrial environments to employ the P2P computing paradigm to develop cost-effective content distribution systems over the Internet. Major content distribution networks, such as Akamai, consider the P2P paradigm as a real threat for their content distribution business. This is because the P2P paradigm may in the future achieve similar services with a fraction of the cost. However, there are several research challenges that need to be addressed to enable the P2P paradigm to achieve this potential. In this research, we tackle these research challenges. Our final objective is to develop a fully functional and reliable P2P content distribution system.
 
  
 
== Progress ==
 
== Progress ==
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* [[pCDN:Meeting|Progress Report and Weekly Meeting Minutes]]
 
* [[pCDN:Meeting|Progress Report and Weekly Meeting Minutes]]
 
* [[pCDN:Backlog|Scrum Backlog]]
 
* [[pCDN:Backlog|Scrum Backlog]]
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* [[pCDN:Restructuring|Restructuring]]
 
* [[pCDN:Restructuring|Restructuring]]
 
* [[pCDN:Geo-Fencing|Geo-Fencing]]
 
* [[pCDN:Geo-Fencing|Geo-Fencing]]
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== Publications ==
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* C. Hsu and M. Hefeeda, Partitioning of Multiple Fine-Grained Scalable Video Sequences Concurrently Streamed to Heterogeneous Clients, IEEE Transactions on Multimedia, Accepted November 2007.
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* Hsu and M. Hefeeda, On the Accuracy and Complexity of Rate-Distortion Models for FGS-encoded Video Sequences, ACM Transactions on Multimedia Computing, Communications, and Applications, Accepted February 2007. 
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* M. Hefeeda and C. Hsu, [http://www.cs.sfu.ca/~mhefeeda/Papers/tomccap08_fgs.pdf Rate-Distortion Optimized Streaming of Fine-Grained Scalable Video Sequences], ACM Transactions on Multimedia Computing, Communications, and Applications, 4(1), Article 2, 28 Pages, January 2008. 
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* C. Hsu and M. Hefeeda, [http://www.cs.sfu.ca/~mhefeeda/Papers/tom08.pdf Optimal Coding of Multi-layer and Multi-version Video Streams], IEEE Transactions on Multimedia, 10(1), pp. 121--131, January 2008.
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* B. Jules and M. Hefeeda, [http://www.cs.sfu.ca/~mhefeeda/Papers/pCDN07.pdf pCDN: Peer-assisted Content Distribution Network], CBC/Radio-Canada Technology Review Magazine, Issue 4, pp. 1--14, July 2007. (Invited, also published in French).
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* Y. Tu, J. Sun, M. Hefeeda, Y. Xia, S. Prabhakar, [http://www.cs.sfu.ca/~mhefeeda/Papers/tomccap05.pdf An Analytical Study of Peer-to-Peer Media Streaming Systems], ACM Transactions on Multimedia Computing,  Communications, and Applications, 1(4),  pp. 354--376, November 2005.
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* M. Hefeeda, A. Habib, D. Xu, B. Bhargava, B. Botev, [http://www.cs.sfu.ca/~mhefeeda/Papers/mmsj05.pdf CollectCast: A Peer-to-Peer Service for Media Streaming],  ACM/Springer Multimedia Systems Journal, 11(1), pp. 68--81, November 2005.
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* C. Hsu and M. Hefeeda, [http://www.cs.sfu.ca/~mhefeeda/Papers/iwqos07.pdf Structuring Multi-Layer Scalable Streams to Maximize Client-Perceived Quality], In Proc. of IEEE International Workshop on Quality of Service (IWQoS'07), pp. 182--187, Chicago, IL, June 2007.
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* C. Hsu and M. Hefeeda, [http://www.cs.sfu.ca/~mhefeeda/Papers/nossdav07.pdf Optimal Partitioning of Fine-Grained Scalable Video Streams], In Proc. of ACM International Workshop on Network and Operating Systems Support for Digital Audio & Video (NOSSDAV'07), pp. 63--68, Urbana-Champion, IL, June 2007. 
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* C. Hsu and M. Hefeeda, [http://www.cs.sfu.ca/~mhefeeda/Papers/mmcn07.pdf Optimal Bit Allocation for Fine-Grained Scalable Video Sequences in Distributed Streaming Environments], In Proc. of 14th ACM/SPIE Multimedia Computing and Networking Conference (MMCN'07), pp. 1--12, San Jose, CA, Jan 2007.
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== Software ==
 
== Software ==
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== People ==
 
== People ==
* [http://www.cs.sfu.ca/~mhefeeda/ Mohamed Hefeeda]
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* Cheng-Hsin Hsu (PhD student)
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* [http://www.cs.sfu.ca/~mhefeeda/ Mohamed Hefeeda] (Assistant Professor)
* Majid Bagheri (PhD student)
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* Kianoosh Mokhtarian (M.Sc. student)
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* François Conway, (CBC, Senior Director, Technology, Strategy and Planning)
* Nitin Chiluka (Research Assistant, Spring 2008)
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* Bernard Jules (CBC,  Senior Project Manager, Internet and New Media Technology)
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* Cheng-Hsin Hsu (PhD Student)
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* Majid Bagheri (PhD Student)
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* Kianoosh Mokhtarian (MSc Student)
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* Nitin Chiluka (Research Assistant/Software Engineer)
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* Patrick Morin (CBC, Technical Support, Internet and New Media Technology)
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* Patrice Charbonneau (CBC, Technical Support, Internet and New Media Technology)
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* Pouya Alagheband (NSERC Undergraduate Research Awards, Summer 2007)  
 
* Pouya Alagheband (NSERC Undergraduate Research Awards, Summer 2007)  
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* Nicolas Gomez (NSERC Undergraduate Research Awards, Summer 2007)
 
* Nicolas Gomez (NSERC Undergraduate Research Awards, Summer 2007)
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* Osama Saleh (MSc Student, Graduated Fall 2006)

Revision as of 16:27, 3 March 2008

This project employs the peer-to-peer (P2P) computing paradigm in designing large-scale content distribution systems. The P2P paradigm provides: (i) improved scalability by aggregating resource contributions from peers (end user machines) and reducing the reliance on centralized servers, (ii) reduced cost by utilizing already-deployed resources and eliminating the need for expensive infrastructure, and (iii) rapid deployability by performing all processing at the end systems.

Major content distribution networks, such as Akamai, consider the P2P paradigm as a real threat for their content distribution business. This is because the P2P paradigm may achieve similar services with a fraction of the cost. However, there are several research challenges that need to be addressed to enable the P2P paradigm to achieve this potential. In this research, we tackle these research challenges. Our goal is to develop a fully functional and reliable P2P content distribution system, which we call pCDN. Several steps have been made towards that goal. In fact, we already have a beta version of pCDN 1.0.

pCDN will provide high-quality multimedia content, support heterogeneous clients, impose minimal load on the expensive inter-ISP links, provide on-demand as well as live streaming services, ensure data integrity, implement digital rights management, among other features. All features are based on novel algorithms developed by our group. An overview of pCDN and its features can be found in this White Paper. The white paper also summarizes the main differences between pCDN and common P2P file-sharing systems such as BitTorrent and Gnutella.

pCDN is developed in partnership with the Canadian Broadcasting Corporation (CBC). CBC is the largest Internet content provider in Canada with millions of online users consuming a huge amount of bandwidth, which costs CBC millions of dollars each year. The objective of pCDN is to offset some of these costs while providing better streaming services to clients. pCDN 1.0 is currently in the final testing phases by CBC to be released to the public. Testing is being performed on small Internet streaming services, and the system will gradually evolve to larger-scale important services.

Funding for the pCDN project is provided by a research grant from CBC, CRD and RTI grants from NSERC, and a few MITACS Research Internships. We appreciate their support.


Contents

Progress


Publications

  • C. Hsu and M. Hefeeda, Partitioning of Multiple Fine-Grained Scalable Video Sequences Concurrently Streamed to Heterogeneous Clients, IEEE Transactions on Multimedia, Accepted November 2007.
  • Hsu and M. Hefeeda, On the Accuracy and Complexity of Rate-Distortion Models for FGS-encoded Video Sequences, ACM Transactions on Multimedia Computing, Communications, and Applications, Accepted February 2007.


Software

Documents

People

  • François Conway, (CBC, Senior Director, Technology, Strategy and Planning)
  • Bernard Jules (CBC, Senior Project Manager, Internet and New Media Technology)


  • Cheng-Hsin Hsu (PhD Student)
  • Majid Bagheri (PhD Student)
  • Kianoosh Mokhtarian (MSc Student)
  • Nitin Chiluka (Research Assistant/Software Engineer)
  • Patrick Morin (CBC, Technical Support, Internet and New Media Technology)
  • Patrice Charbonneau (CBC, Technical Support, Internet and New Media Technology)


  • Pouya Alagheband (NSERC Undergraduate Research Awards, Summer 2007)
  • Nicolas Gomez (NSERC Undergraduate Research Awards, Summer 2007)
  • Osama Saleh (MSc Student, Graduated Fall 2006)