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A Reliable Multicast Framework for Light-weight Sessions and Application Level Framing (1996)
| Content Provider | CiteSeerX |
|---|---|
| Author | Mccanne, Steven Floyd, Sally Liu, Ching-Gung Jacobson, Van Zhang, Lixia |
| Abstract | This paper describes SRM (Scalable Reliable Multicast), a reliable multicast framework for light-weight sessions and application level framing. The algorithms of this framework are e cient, robust, and scale well to both very large networks and very large sessions. The SRM framework has been prototyped in wb, a distributed whiteboard application, which has been used on a global scale with sessions ranging from a few to more than 1000 participants. The paper describes the principles that have guided the SRM design, including the IP multicast group delivery model, an end-to-end, receiver-based model of reliability, and the application level framing protocol model. As with unicast communications, the performance of a reliable multicast delivery algorithm depends on the underlying topology and operational environment. We investigate that dependence via analysis and simulation, and demonstrate an adaptive algorithm that uses the results of previous loss recovery events to adapt the control parameters used for future loss recovery. With the adaptive algorithm, our reliable multicast delivery algorithm provides good performance over a wide range of underlying topologies. |
| File Format | |
| Publisher Date | 1996-01-01 |
| Access Restriction | Open |
| Subject Keyword | Reliable Multicast Delivery Algorithm Application Level Extended Report Protocol Model Srm Design Large Network Control Parameter Reliable Multicast Framework Global Scale Adaptive Algorithm Previous Loss Recovery Event Operational Environment Scalable Reliable Multicast Ip Multicast Group Delivery Model Receiver-based Model Srm Framework Describes Srm Wide Range Underlying Topology Distributed Whiteboard Application Unicast Communication Large Session Light-weight Session Application Level Framing Future Loss Recovery |
| Content Type | Text |
| Resource Type | Article |
