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
Link To Document :
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