Chen Feng – Projects

Physical-Layer Network Coding

This project develops an algebraic framework for studying nested-lattice-based physical-layer network coding. Topics of interest include design criteria, code constructions, as well as practical applications.

Related publications
  1. Roberto W. Nóbrega, Chen Feng, Danilo Silva, and Bartolomeu Uchôa-Filho, ‘‘On Multiplicative Matrix Channels over Finite Chain Rings,’’ submitted to IEEE Transactions on Information Theory, November 2013.

  2. Chen Feng, Roberto W. Nóbrega, Frank R. Kschischang, and Danilo Silva, “Communication over Finite-Chain-Ring Matrix Channels,” submitted to IEEE Transactions on Information Theory, April 2013.

  3. Chen Feng, Danilo Silva, and Frank R. Kschischang, “An Algebraic Approach to Physical-Layer Network Coding,” IEEE Transactions on Information Theory, vol. 59, no. 11, pp. 7576-7596, November 2013.

  4. Chen Feng, Danilo Silva, and Frank R. Kschischang, “Blind Compute-and-Forward,” in Proc. IEEE Int. Symp. Information Theory (ISIT), Cambridge, MA, July 2012, pp. 408-412. [slides]

  5. Chen Feng, Danilo Silva, and Frank R. Kschischang, “Lattice Network Coding via Signal Codes,” in Proc. IEEE Int. Symp. Information Theory (ISIT), Saint Petersburg, Russia, July 2011, pp. 2578-2582. [slides]

Network Coding for Peer-to-Peer Streaming

This project studies the fundamental tradeoffs in peer-to-peer streaming systems as well as the role of network coding in such systems.

Related publications
  1. Chen Feng and Baochun Li, “Network Coding for Content Distribution and Multimedia Streaming in Peer-to-Peer Networks,” in Network Coding: Fundamentals and Applications, Muriel Medard and Alex Sprintson, Editors, pp. 61-86, Academic Press, ISBN 978-0-12-380918-6, Hardback, 2012.

  2. Chen Feng and Baochun Li, “Network Coding for Peer-Assisted Multimedia Streaming,” IEEE Communication Society MMTC E-Letter, vol. 5, no. 2, pp. 9-12, March 2010.

  3. Chen Feng, Baochun Li, and Bo Li, “Understanding the Performance Gap between Pull-based Mesh Streaming Protocols and Fundamental Limits,” in Proc. IEEE INFOCOM, Rio de Janeiro, Brazil, April 2009, pp. 891-899. [slides]

  4. Chen Feng and Baochun Li, “On Large-Scale Peer-to-Peer Streaming Systems with Network Coding,” in Proc. ACM Multimedia, Vancouver, British Columbia, October 2008, pp. 269-278. [slides]

Cloud Traffic Management

This project adapts the Alternating Direction Method of Multiplies (ADMM) to manage cloud workload in a distributed and energy-efficient fashion.

Related publications
  1. Chen Feng, Hong Xu, and Baochun Li, “An Alternating Direction Method Approach to Cloud Traffic Management,” in preparation for submission to IEEE/ACM Transactions on Networking. [Preprint]

  2. Hong Xu, Chen Feng, and Baochun Li, ‘‘Temperature-Aware Workload Management in Geo-distributed Datacenters,’’ submitted to IEEE Transactions on Parallel and Distributed Systems, October 2013.

  3. Hong Xu, Chen Feng, and Baochun Li, “Temperature Aware Workload Management in Geo-distributed Datacenters,” in Proc. USENIX Int. Conf. Autonomic Computing (ICAC), San Jose, CA, June 2013, pp. 303-314. [slides]

  4. Hong Xu, Chen Feng, and Baochun Li, “Temperature Aware Workload Management in Geo-distributed Datacenters,” in Proc. ACM SIGMETRICS (Extended Abstract), Pittsburgh, PA, June 2013.

Cloud Bandwidth Pricing

This project studies cloud bandwidth pricing models for bandwidth-sensitive applications such as video-on-demand and video gaming.

Related publications
  1. Di Niu, Chen Feng, and Baochun Li, “Pricing Cloud Bandwidth Reservations under Demand Uncertainty,” in Proc. ACM SIGMETRICS, London, UK, June 2012, pp. 151-162. [slides]

  2. Di Niu, Chen Feng, and Baochun Li, “A Theory of Cloud Bandwidth Pricing for Video-on-Demand Providers,” in Proc. IEEE INFOCOM, Orlando, Florida, March 2012, pp. 711-719. [slides]