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

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationAdvances in Queueing Theory and Network Applications
PublisherSpringer New York
Pages35-45
Number of pages11
ISBN (Print)9780387097022
DOIs
Publication statusPublished - 2009 Dec 1

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'Analytical model of on-demand streaming services based on renewal reward theory'. Together they form a unique fingerprint.

  • Cite this

    Toyoizumi, H. (2009). Analytical model of on-demand streaming services based on renewal reward theory. In Advances in Queueing Theory and Network Applications (pp. 35-45). Springer New York. https://doi.org/10.1007/978-0-387-09703-9_2