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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jin Zhao Fan Yang Qian Zhang Zhensheng Zhang |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comp. Sci. & Eng., Fudan Univ., Shanghai (Jin Zhao) |
| Abstract | Overlay multicast is becoming increasingly popular for multimedia delivery over Internet. The available bandwidths between sender and different receivers are generally heterogeneous. In this paper, we propose a scheme to improve the throughput of a media delivery session with heterogeneous receivers by organizing the receivers into layered data distribution meshes and sending substreams to each mesh using layered coding. Our solution utilizes alternative paths and network coding in each mesh. We first formulate the problem into a mathematical programming, whose optimal solution requires global information. We therefore present a distributed heuristic algorithm. The heuristic progressively organizes the receivers into layered meshes. Each receiver can subscribe to a proper number of meshes to maximize its throughput by fully utilizing its available bandwidth. The benefits of organizing the topology into layered mesh and using network coding are demonstrated through extensive simulations. Numerical results indicate that the average throughput of a media delivery session is significantly improved. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 326651 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424403561 |
| ISSN | 1930529X |
| DOI | 10.1109/GLOCOM.2006.216 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-11-27 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Throughput Nonhomogeneous media Network coding Peer to peer computing Bandwidth Internet Organizing Mathematical programming Asia Heuristic algorithms |
| Content Type | Text |
| Resource Type | Article |
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