DocumentCode
3004612
Title
Performance evaluation of as-friendly peer selection algorithms for P2P live streaming
Author
Fukushima, Yukinobu ; Inada, Kazuya ; Tao, Yin ; Fujiwara, Yasuyuki ; Yokohira, Tokumi
Author_Institution
Grad. Sch. of Natural Sci. & Technol., Okayama Univ., Okayama, Japan
fYear
2009
fDate
8-10 Oct. 2009
Firstpage
866
Lastpage
870
Abstract
In this paper, we evaluate the performance of peer selection algorithms: MLH (Minimum Logical Hop) and MPH (Minimum Physical Hop) to increase the number of joining peers and to decrease inter-AS traffic volume in P2P live streaming, where we assume that every peer´s logical hop count (the number of providing peers between an origin streaming server and the peer) is limited by a predetermined value in order to keep real-time property of live streaming. In MLH, a newly joining peer selects such providing peers that the logical hop count is minimum to increase the number of joining peers. And then if there are several such providing peers, the newly joining peer selects such providing peers that the number (physical hop count) of ASs between the newly joining peer and each of the providing peers is minimum to decrease the inter-AS traffic volume. In MPH, a newly joining peer selects providing peers in the reverse order of MLH. Simulation results show that MLH achieves about from 20% to 60% more maximum joining peers than MPH, and MPH shows smaller inter-AS traffic volume than MLH when the number of joining peers is small while MLH shows smaller inter-AS traffic volume when the number of joining peers is large.
Keywords
peer-to-peer computing; video streaming; P2P live streaming; as-friendly peer selection algorithms; minimum logical hop; minimum physical hop; performance evaluation; Bandwidth; Costs; Games; Internet; Joining processes; Peer to peer computing; Streaming media; Telecommunication traffic; Traffic control; Web server;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2009. APCC 2009. 15th Asia-Pacific Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-4784-8
Electronic_ISBN
978-1-4244-4785-5
Type
conf
DOI
10.1109/APCC.2009.5375467
Filename
5375467
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