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

Hiroshi Toyoizumi*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter


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.

Original languageEnglish
Title of host publicationAdvances in Queueing Theory and Network Applications
PublisherSpringer New York
Number of pages11
ISBN (Print)9780387097022
Publication statusPublished - 2009 Dec 1
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)


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