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