Research On Hierarchical Application Layer Multicast Protocol

Recently, Multimedia streaming applications like video on demand and music streaming are getting more popular and significant in the Internet applications. To satisfy Quality of Service (QOS) requirements, i.e. delay time, bandwidth, IP multicast techniques are also discussed. Due to a variety of technical and non-technical reasons, the deployment of IP multicast in Internet has been limited and sparse.As the development of P2P techniques, Application level multicast (ALM) based on P2P also known as end system multicast or overlay multicast has become a very popular research. Compared with IP multicast, ALM is more flexible and deployable. But data delivery in ALM tree can be easily interrupted by departure of end hosts, which may lead to degradation of QOS in time sensitive applications such as live streaming.This article studied the typical hierarchical model NICE and presented some improvement. Such as, we set up a new cluster-leader selected algorithm based on the analysis of the stability and capabilities of end hosts in P2P network. When compared with NICE protocol via simulation, the enhanced protocol provides lower end-to-end delay and higher robustness.Data delivery can be easily interrupted by departure of end hosts in P2P network, which may lead to degradation of QOS in time-sensitive applications such as live streaming. In this paper, to deal with this problem, we propose a new hierarchical and clustering protocol-MHM based on user behavior analysis in live streaming. By clustering technique, the protocol organizes all the end hosts into overlay with a two levels structure, that is, layered MHM can keep a level of efficiency while reduce the interruption times of ALM tree. The simulation results show that our protocol can effectively boost up the robustness; reduce the average ALM latency and satisfy scalability.