Video Streaming with Network Coding

2002

With the explosive growth of video applications over the Internet, many approaches have been proposed to stream video effectively over packet switched, best-effort networks. A number of these use techniques from source and channel coding, or implement transport protocols, or modify system architectures in order to deal with delay, loss, and time-varying nature of the Internet. In this paper, we propose a framework for streaming video from multiple senders simultaneously to a single receiver. The main motivation in doing so is to exploit path diversity in order to achieve higher throughput, and to increase tolerance to packet loss and delay due to network congestion. In this framework, we propose a receiver-driven transport protocol to coordinate simultaneous transmissions of video from multiple senders. Our protocol employs two algorithms: rate allocation and packet partition. The rate allocation algorithm determines sending rate for each sender to minimize the packet loss, while the packet partition algorithm minimizes the probability of packets arriving late. Using NS and actual Internet experiments, we demonstrate the effectiveness of our proposed distributed transport protocol in terms of the overall packet loss rate, and compare its performance against a naïve distributed protocol.

Multimedia Computing and Networking 2002, 2001

With the explosive growth of video applications over the Internet, many approaches have been proposed to stream video effectively over packet switched, best-effort networks. A number of these use techniques from source and channel coding, or implement transport protocols, or modify system architectures in order to deal with delay, loss, and time-varying nature of the Internet. In this paper, we propose a framework for streaming video from multiple senders simultaneously to a single receiver. The main motivation in doing so is to exploit path diversity in order to achieve higher throughput, and to increase tolerance to packet loss and delay due to network congestion. In this framework, we propose a receiver-driven transport protocol to coordinate simultaneous transmissions of video from multiple senders. Our protocol employs two algorithms: rate allocation and packet partition. The rate allocation algorithm determines sending rate for each sender to minimize the packet loss, while the packet partition algorithm minimizes the probability of packets arriving late. Using NS and actual Internet experiments, we demonstrate the effectiveness of our proposed distributed transport protocol in terms of the overall packet loss rate, and compare its performance against a naïve distributed protocol.

2007

In recent years, Content Delivery Networks (CDN) and Peerto-Peer (P2P) networks have emerged as two effective paradigms for delivering multimedia contents over the Internet. An important feature in CDN and P2P networks is the data redundancy across multiple servers/peers which enables efficient media delivery. In this paper, we propose a network coding framework for efficient media streaming in either content delivery networks or P2P networks in which, multiple servers/peers are employed to simultaneously stream a video to a single receiver. Unlike previous multi-sender schemes, we show that network coding technique can (a) reduce the redundancy storage, (b) eliminate the need for tight synchronization between the senders, and (c) be integrated easily with TCP. Furthermore, we propose the Hierarchical Network Coding (HNC) technique to be used with scalable video bit stream to combat bandwidth fluctuation on the Internet. Simulation results demonstrate that our proposed scheme can result in bandwidth saving up to 40% for many cases over the traditional schemes.