Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/3290

Scalable live streaming service based on interoverlay optimization

Authors Liao, Xiaofei
Jin, Hai
Liu, Yunhao
Ni, Lionel M.
Issue Date 2007
Source IEEE transactions on parallel and distributed systems, v. 18, (12), 2007, DEC, p. 1663-1674
Summary In order to provide scalable live streaming services, we propose an Interoverlay Optimization scheme, IOO. Instead of selecting better paths in the same overlay, IOO constructs efficient paths using peers in different overlays so as to 1) improve global resource utilization of peer-to-peer ( P2P) streaming networks, 2) assign resources based on their locality and delay, 3) guarantee streaming service quality by using the nearest peers, even when such peers might belong to different overlays, and 4) balance the load among the group (streaming overlay) members. We compare the performance of IOO with existing approaches through trace-driven simulations. Results show that IOO outperforms previous schemes in terms of resource utilization and the quality of service (QoS) of streaming services. The IOO scheme has been implemented in an Internet-based live streaming system, called AnySee. AnySee was successfully released in the summer of 2004 in the China Educational Research Network (CERNET). More than 60,000 users enjoy massive entertainment programs, including TV programs, movies, and academic conferences videos.
Subjects
ISSN 1045-9219
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Language English
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