DocumentCode :
2800212
Title :
SkipStream: A Clustered Skip Graph Based On-demand Streaming Scheme over Ubiquitous Environments
Author :
Yu, Qifeng ; Xu, Tianyin ; Ye, Baoliu ; Lu, Sanglu ; Chen, Daoxu
Author_Institution :
Dept. of Comput. Sci. & Technol., Nanjing Univ., Nanjing, China
fYear :
2009
fDate :
22-25 Sept. 2009
Firstpage :
269
Lastpage :
276
Abstract :
Providing continuous on-demand streaming services with VCR functionality over ubiquitous environments is challenging due to the stringent QoS requirements of streaming service as well as the dynamic characteristics of both underlying network and user behavior. In this paper, we propose SkipStream, a skip graph based peer-to-peer (P2P) on-demand streaming scheme with VCR support to address the above challenges. In the design of SkipStream, we first group users into a set of disjoint clusters in accordance with their playback offset and further organize the resulted clusters into a skip graph based overlay network. In addition, we present a distributed on-demand streaming scheduling mechanism to minimize the impact of VCR operations and balance system load among nodes adaptively. The average search latency of SkipStream is O(log(N)) where N is the number of disjoint clusters. We also evaluate the performance of SkipStream via extensive simulations. Experimental results show that SkipStream outperforms early skip list based scheme DSL by reducing the search latency 20%-60% in average case and over 50% in worst case.
Keywords :
graph theory; peer-to-peer computing; quality of service; QoS requirements; SkipStream; VCR functionality; clustered skip graph; disjoint clusters; distributed on-demand streaming scheduling mechanism; overlay network; peer-to-peer on-demand streaming scheme; ubiquitous environments; DSL; Delay; Network servers; Network topology; Parallel processing; Peer to peer computing; Scalability; Scheduling; Streaming media; Video recording; P2P; Streaming Service; Ubiquitous Computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel Processing, 2009. ICPP '09. International Conference on
Conference_Location :
Vienna
ISSN :
0190-3918
Print_ISBN :
978-1-4244-4961-3
Electronic_ISBN :
0190-3918
Type :
conf
DOI :
10.1109/ICPP.2009.57
Filename :
5362352
Link To Document :
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