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Simulation And Analysis Of MTN Video-on-Demand Protocol

Posted on:2009-02-24Degree:MasterType:Thesis
Country:ChinaCandidate:Z Z ZhuFull Text:PDF
GTID:2178360278464166Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
By sharing the resources of bandwidth and memory among a number of peers in a Video-on-Demand (VoD) network, Peer-to-Peer (P2P) transfer can observably reduce the payload of the server and improve the utilization of the network resources. Media Telecom Network (MTN) VoD protocol is developed based on controllable P2P transfer to meet the needs of large-scale VoD service deployment. As is in the case of most network protocols, simulation study is one of the most important approaches to the evaluations of functionality and performance of MTN VoD protocol.This thesis focuses on the study of the parallel simulation and the performance evaluation of MTN VoD protocol, to this end, NS2 and PDNS are extended to implement the interactions of protocol messages and data blocks among peers, and are consequently capable of simulating different types of nodes including peer, directory server and video server. The extended version of NS2 is presented the interfaces of configuration and the traces of the interaction among the nodes, and can be applied to simulating in a parallel fashion a large-scale VoD network at a number of workstations.Based on the extension of NS2, a lot of large-scale network simulations are performed for the test of the functionality and performance of the codes and the performance evaluation MTN VoD protocol. The results show that the simulation codes work well in the case of tens of thousands of MTN VoD nodes, and this protocol is accompanied with significant improvement upon an existing one in terms of placback continuity, delay and traffic load imposed.It shoud be mentioned that the results presented in this thesis can be effectively applied to further evaluation of MTN VoD protocol as well as the study on the improvement on it.
Keywords/Search Tags:Peer-to-Peer Network, Streaming Media, Video-on-Demand, Network Simulation, Performance Analysis
PDF Full Text Request
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