DocumentCode
2784382
Title
Incorporated scheduling strategy for streaming media based on popularity
Author
Yu, Chao ; Xing, Ling ; Ma, Jian-Guo ; Fu, Rong
Author_Institution
Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang, China
fYear
2009
fDate
23-25 Oct. 2009
Firstpage
371
Lastpage
374
Abstract
Stream scheduling strategy used in streaming media server can improve largely system service capability by increasing system efficiency and reducing bandwidth requirement. In this study, an incorporated scheduling strategy, which combines period-patching and batching scheduling strategy, is proposed. It uses period-patching scheduling to transmit the group-broadcasting streams, and then incorporates the nearby patching streams in a shared patching stream. The bandwidth resource and Qos of system can be improved at the expense of a little longer average waiting time. The simulation results show that incorporated scheduling strategy is more efficient and economical, in aspect of patching stream number and bandwidth requirement, than the typical period- patching scheduling under the circumstances of high visiting frequency for media resources or bursts of rapidly occurring events of user requests.
Keywords
media streaming; quality of service; scheduling; Qos system; batching scheduling strategy; group broadcasting streams; high visiting frequency; incorporated scheduling strategy; increasing system efficiency; nearby patching streams; patching stream number; period patching scheduling; popularity; rapidly occurring events; reducing bandwidth requirement; shared patching stream; stream scheduling strategy; streaming media based; streaming media server; system service capability; Bandwidth; Broadcasting; Chaos; Communications technology; Discrete event simulation; Dynamic scheduling; Frequency; Processor scheduling; Scheduling algorithm; Streaming media; Streaming media; incorporated scheduling strategy; period-patching; popularity;
fLanguage
English
Publisher
ieee
Conference_Titel
Apperceiving Computing and Intelligence Analysis, 2009. ICACIA 2009. International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5204-0
Electronic_ISBN
978-1-4244-5206-4
Type
conf
DOI
10.1109/ICACIA.2009.5361077
Filename
5361077
Link To Document