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

Hiroshi Toyoizumi

doi:10.1007/978-0-387-09703-9_2

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 proceeding › Chapter

Abstract

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 language	English
Title of host publication	Advances in Queueing Theory and Network Applications
Publisher	Springer New York
Pages	35-45
Number of pages	11
ISBN (Print)	9780387097022
DOIs	https://doi.org/10.1007/978-0-387-09703-9_2
Publication status	Published - 2009 Dec 1
Externally published	Yes

ASJC Scopus subject areas

Engineering(all)

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10.1007/978-0-387-09703-9_2

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

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