DocumentCode :
685849
Title :
Optimising the geographical location of transcoding resources
Author :
Farrow, Paul ; Reed, M.
Author_Institution :
Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
fYear :
2013
fDate :
17-19 Nov. 2013
Firstpage :
58
Lastpage :
62
Abstract :
Ultra-high definition video, sometimes termed 4k or 8k video, is likely to become the format for future video services for both home and cinema media. However, streaming real-time ultra-high definition content consumes a large amount of bandwidth in a network, which can create delays as well as lost packets for other network traffic, in particular on constrained links. Consequently, it is desirable to reduce the traffic along constrained links while providing the same quality of service to clients. By using a combination of application layer multicasting and transcoding it is possible to reduce the bandwidth usage in the network and provide a more efficient content delivery service. However, as transcoding is unlikely to be available at every location, it is required to solve the optimization problem of transcoder placement while taking into account computational and network resource constraints. This paper presents a heuristic solution to this problem. It is shown that this solution is better than a generic problem solver, such as a genetic algorithm, in terms of computational requirements, but without reducing optimization quality.
Keywords :
genetic algorithms; high definition video; multicast communication; telecommunication congestion control; transcoding; video streaming; 4k video; 8k video; application layer multicasting; application layer transcoding; bandwidth usage; cinema media; content delivery service; genetic algorithm; geographical location; heuristic solution; home media; network traffic; streaming real-time ultra-high definition content; transcoding resources; ultrahigh definition video; video services; Algorithm design and analysis; Bandwidth; Genetic algorithms; Heuristic algorithms; Optimization; Streaming media; Transcoding; Genetic Algorithm; Heuristic; Optimization; Traffic; Transcoding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Broadband Network & Multimedia Technology (IC-BNMT), 2013 5th IEEE International Conference on
Conference_Location :
Guilin
Type :
conf
DOI :
10.1109/ICBNMT.2013.6823915
Filename :
6823915
Link To Document :
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