Efficient contents delivery method with scheduled unicast and multicast

Kazuki Irie, Yutaka Arakawa, Satoru Okamoto, Naoaki Yamanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose the efficient contents delivery method with scheduled unicast and multicast to reduce the load of contents server and network congestion. In our proposed method, the timing of transmitting contents is arranged when many users access the contents in short period of time. Furthermore, the method of transmitting contents is switched from unicast to multicast. We evaluate the performance by computer simulation in terms of the unicast holding time, the threshold of switching from unicast to multicast, and the multicast delivery interval with the parameters of the content size and the access traffic. The simulation results show that the unicast holding is effective for the relatively-little contents and average download time can be reduced in our proposed method. The optimum switching time and the multicast delivery interval are also derived for a typical model. copyright

Original languageEnglish
Title of host publication2008 14th Asia-Pacific Conference on Communications, APCC 2008
Publication statusPublished - Dec 1 2008
Externally publishedYes
Event2008 14th Asia-Pacific Conference on Communications, APCC 2008 - Akihabara, Tokyo, United States
Duration: Oct 14 2008Oct 16 2008

Publication series

Name2008 14th Asia-Pacific Conference on Communications, APCC 2008

Other

Other2008 14th Asia-Pacific Conference on Communications, APCC 2008
CountryUnited States
CityAkihabara, Tokyo
Period10/14/0810/16/08

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Communication

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    Irie, K., Arakawa, Y., Okamoto, S., & Yamanaka, N. (2008). Efficient contents delivery method with scheduled unicast and multicast. In 2008 14th Asia-Pacific Conference on Communications, APCC 2008 [4773755] (2008 14th Asia-Pacific Conference on Communications, APCC 2008).