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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kim, B.G. Joo, S.S. Lee, H.H. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Comput. Sci., Massachusetts Univ., Lowell, MA, USA (Kim, B.G.) |
| Abstract | It is well known that feedback control may be difficult in a network with long propagation delays (with large bandwidth-delay products). The focus of this article is to provide a theoretical framework of various feedback-based congestion control techniques. Two broad classes of control algorithms are presented: source- and switch (network)-intelligence models. In a source-intelligence model, traffic sources adjust their transmission rates according to congestion information provided by the network. Theoretical models based on queueing theory and delay differential equations are presented. In a network-intelligence model, network switches evaluate appropriate transmission rates of sources. It is believed that any reactive control in a network with long delays is not effective. A control theoretic framework is presented, which attempts to exercise a degree of prediction of traffic patterns in the near future. Algorithms predicting the future input rates and the topological distribution of sources are presented. Finally, a unified approach combining both source- and network-intelligence models may be of interest for further study. |
| Starting Page | 275 |
| Ending Page | 280 |
| File Size | 444333 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769505716 |
| DOI | 10.1109/PADSW.2000.884590 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-07-07 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Feedback control Switches Traffic control High-speed networks Asynchronous transfer mode Bandwidth Propagation delay Communication system traffic control Protocols Computer science |
| Content Type | Text |
| Resource Type | Article |
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