Fast-response Receiver-driven Layered Multicast

In this paper, a new layered multicast protocol, called Fast-response Receiver-driven Layered Multicast (FRLM), is proposed. The differences between our FRLM and the original RLM are only at the receivers. Our design allows the receivers to track the available network bandwidth faster; this enables the receivers to converge to their optimal number of subscribed layers quicker, and to respond to the network congestion prompter. An early trigger mechanism for shortening IGMP leave latency is also designed. We show that FRLM can avoid several potential problems with the original RLM, which have been overlooked previously. Last but not the least, FRLM is a practical scheme that can be readily implemented in today's best-effort Internet.published_or_final_versio

Fast-response receiver-driven layered multicast with multiple servers

Almost all the proposed layered multicast algorithms support a single server, i.e. a receiver can only subscribe to at most one server. A common restriction to single server approach Is that the maximum number of subscribed layers, as well as the maximum achievable throughput Is limited by the specific bottleneck link between a receiver and the server. In this paper, a new layered multicast protocol, called Fast-response Receiver-driven Layered Multicast with Multiple Servers (FRLM-MS) Is proposed. Our design allows a receiver to subscribe to more than one servers. A FRLM-MS receiver can benefit from multiple paths to the multiple servers, resulting In a higher achievable bandwidth. It In turn allows the receiver to have a higher layer subscription, and thus a better playback performance. © 2005 IEEE.published_or_final_versio

Network-supported layered multicast transport control for streaming media

Multicast is very efficient in distributing large volume of data to multiple receivers over the Internet. Layered multicast helps solve the heterogeneity problem in multicast delivery. Extensive work has been done in the area of layered multicast, for both congestion control and error control. In this paper, we focus on network-supported protocols for streaming media. Most of the existing work solves the congestion control and error control problems separately, and do not give an integrated, efficient solution. In this paper, after reviewing related work, we introduce our proposed protocols, RALM and RALF. The former is a congestion control protocol and the latter is an error control protocol. They work under the same framework and provide an integrated solution. We also extend RALM to RALM-II, which is compatible with TCP traffic. We analyze the complexity of the proposed protocols in the network and investigated their performance through simulations. We show that our solution achieves significant performance gains with reasonable additional complexity. © 2007 IEEE.published_or_final_versio