DocumentCode
2527448
Title
Is Random Scheduling Sufficient in P2P Video Streaming?
Author
Liang, Chao ; Guo, Yang ; Liu, Yong
Author_Institution
ECE Dept, Polytech. Univ., Brooklyn, NY
fYear
2008
fDate
17-20 June 2008
Firstpage
53
Lastpage
60
Abstract
Peer-to-peer (P2P) has recently been employed to deliver large scale video multicast services on the Internet. Considerable efforts have been made by both academia and industry on P2P streaming design. While academia mostly focus on exploring design space to approach the theoretical performance bounds, our recent measurement study on several commercial P2P streaming systems indicates that they are able to deliver good user quality of experience with seemingly simple designs. One intriguing question remains: how elaborate should a good P2P video streaming design be? Towards answering this question, we developed and implemented several representative P2P streaming designs, ranging from theoretically proved optimal designs to straight forward "naive" designs. Through an extensive comparison study on PlanetLab, we unveil several key factors contributing to the successes of simple P2P streaming designs, including system resource index, sever capacity and chunk scheduling rule, peer download buffering and peering degree. We also identify regions where naive designs are inadequate and more elaborate designs can improve things considerably. Our study not only brings us better understandings and more insights into the operation of existing systems, it also sheds lights on the design of future systems that can achieve a good balance between the performance and the complexity.
Keywords
Internet telephony; peer-to-peer computing; scheduling; video streaming; Internet; P2P video streaming; PlanetLab; large scale video multicast services; peer-to-peer technology; random scheduling; Internet; Job shop scheduling; Large-scale systems; Network servers; Peer to peer computing; Space exploration; Space technology; Streaming media; Unicast; Web server; peer-to-peer; scheduling; streaming;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing Systems, 2008. ICDCS '08. The 28th International Conference on
Conference_Location
Beijing
ISSN
1063-6927
Print_ISBN
978-0-7695-3172-4
Electronic_ISBN
1063-6927
Type
conf
DOI
10.1109/ICDCS.2008.103
Filename
4595868
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