End-to-end single-rate multicast congestion detection using support vector machines
| dc.contributor.advisor | Omlin, Christian W.P. | |
| dc.contributor.author | Liu, Xiaoming | |
| dc.date.accessioned | 2014-10-16T09:29:10Z | |
| dc.date.accessioned | 2024-10-30T14:00:52Z | |
| dc.date.available | 2014-10-16T09:29:10Z | |
| dc.date.available | 2024-10-30T14:00:52Z | |
| dc.date.issued | 2008 | |
| dc.description | >Magister Scientiae - MSc | en_US |
| dc.description.abstract | IP multicast is an efficient mechanism for simultaneously transmitting bulk data to multiple receivers. Many applications can benefit from multicast, such as audio and videoconferencing, multi-player games, multimedia broadcasting, distance education, and data replication. For either technical or policy reasons, IP multicast still has not yet been deployed in today’s Internet. Congestion is one of the most important issues impeding the development and deployment of IP multicast and multicast applications. | en_US |
| dc.identifier.uri | https://hdl.handle.net/10566/16973 | |
| dc.language.iso | en | en_US |
| dc.rights.holder | uwc | en_US |
| dc.subject | Multicast | en_US |
| dc.subject | Congestion detection | en_US |
| dc.subject | Machine learning | en_US |
| dc.subject | Accumulation measurement | en_US |
| dc.subject | Support vector machines | en_US |
| dc.title | End-to-end single-rate multicast congestion detection using support vector machines | en_US |