A novel loss indication filtering approach for multicast congestion control

✍ Scribed by S Bhattacharyya; D Towsley; J Kurose

• Book ID: 104273666
• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 260 KB
• Volume: 24
• Category: Article
• ISSN: 0140-3664
• DOI: 10.1016/s0140-3664(00)00299-1

✦ Synopsis

A key issue in the design of source-based multicast congestion control schemes is how to aggregate loss indications from multiple receivers into a single rate control decision at the source. Such aggregation entails ®ltering out a portion of the loss indications received by the source, and then using the remaining for rate adjustments. In this paper, we ®rst propose a set of goals guiding the design of loss indication ®lters. We then present a novel loss indication ®ltering approach, the linear proportional response (LPR) approach. Analysis and simulation is used to compare LPR to two well-known approaches Ð the random listening algorithm (RLA) [Proceedings of ACM SIGCOMM (1998)] and the worst estimate-based tracking (WET) [Proceedings of IEEE Infocom (1999)] approach. Our results indicate that LPR achieves a desirable tradeoff between stability and response, thereby making it more suitable than WET and RLA for deployment in an Internet-like environment.