DocumentCode :
2486507
Title :
Server load based prefetching strategy for P2P VoD streaming
Author :
Pingshan Liu ; Guimin Huang ; Ya Zhou ; Donghong Qin ; Siyun Liu
Author_Institution :
Res. Center of Data Sci. & Social Comput., Guilin Univ. of Electron. Technol., Guilin, China
fYear :
2013
fDate :
12-13 Oct. 2013
Firstpage :
721
Lastpage :
725
Abstract :
In a peer-to-peer (P2P) video-on-demand (VoD) system, a peer can prefetch some movie data for its future needs when it is watching a movie. These prefetched movie data can also offload the servers, which is in the best interest of VoD service providers. To offload the servers effectively, which segment of a movie a peer should prefetch is an important problem. In this paper, we propose a server load based prefetching strategy to solve this problem, which aims at reducing server load. In this strategy, we propose to use the EWMA (Exponentially Weighted Moving Average) server load to determine which segment of a movie a peer should prefetch. Furthermore, we integrate this strategy into our previously proposed P2P VoD scheme. Through simulations, we demonstrate that this strategy can effectively reduce server load.
Keywords :
network servers; peer-to-peer computing; video on demand; video streaming; EWMA; P2P VoD streaming; VoD service providers; exponentially weighted moving average; peer-to-peer system; prefetched movie data; server load; video-on-demand system; Bandwidth; Load modeling; Motion pictures; Peer-to-peer computing; Prefetching; Servers; Videos; peer-to-peer; prefetching; server load; video-on-demand;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
Type :
conf
DOI :
10.1109/ICCSNT.2013.6967212
Filename :
6967212
Link To Document :
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