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Title: Design, analysis, and experiment on multiple servers technology for video-on-demand service in distributed networks
Authors: CHEN LONG
Keywords: Video-on-Demand, play-while-retrieve, access time, retrieval strategy
Issue Date: 22-Dec-2003
Citation: CHEN LONG (2003-12-22). Design, analysis, and experiment on multiple servers technology for video-on-demand service in distributed networks. ScholarBank@NUS Repository.
Abstract: In this thesis, a generalized approach is proposed to retrieve a long-duration movie requested using a network based Video-on-Demand(VoD) service infrastructure employing multiple servers. In this multi-server environment, a play-while-retrieve (PWR) playback strategy is designed and analyzed such that the access time (waiting time for the clients) is minimized. For this strategy, both the single installment and multi-installment retrieval strategies are used to analyze the performance of the service system. For the above mentioned retrieval strategies, the closed-form expressions for a minimum access time are explicitly derived. For the case of multi-installment retrieval strategy, a asymptotic performance analysis is conducted to quantify the ultimate performance bounds of the strategy. The impact of a large scale network is analytically demonstrated as well as the impact of indefinitely increasing the number of installments on the performance of such a multi-server service system. Then the problem of buffer management at the client site is addressed, which is a closely related issue that has a significant influence on the performance of the strategy and also serves as a key issue in making the service system attractive for clients. The minimum amount of buffer expected at the client site is rigourously derived to have a smooth presentation with this multi-server service structure. In the simulation experiments, the performance of PWR strategy is compared with that of play-after-retrieve (PAR) strategy. Further, the PWR strategy is implemented in a real-life VoD system to evaluate the applicability and performance.
Appears in Collections:Master's Theses (Open)

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