Analytical model of on-demand streaming services based on renewal reward theory

Hiroshi Toyoizumi*

*この研究の対応する著者

研究成果: Chapter

抄録

We propose an analytical model based on renewal reward theory to investigate the dynamics of an on-demand streaming service. At the same time, we also propose a simple method combining a method of multicasts and method of unicasts that can reduce the download rate from the streaming server without causing delay. By modeling the requests as a Poisson arrival and using renewal reward theory, we study the dynamics of this streaming service and derive the optimal combination of unicast and multicast methods. We even show how to estimate the fluctuation of download rates of a streaming service.

本文言語English
ホスト出版物のタイトルAdvances in Queueing Theory and Network Applications
出版社Springer New York
ページ35-45
ページ数11
ISBN(印刷版)9780387097022
DOI
出版ステータスPublished - 2009 12 1
外部発表はい

ASJC Scopus subject areas

  • 工学(全般)

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