DocumentCode :
3067969
Title :
Fuzzy design of a video-on-demand network
Author :
Abadpour, Arash ; Alfa, Attahiru S. ; Diamond, Jeff
Author_Institution :
Univ. of Manitoba, Winnipeg
fYear :
2007
fDate :
15-18 Dec. 2007
Firstpage :
491
Lastpage :
496
Abstract :
Designing a video-on-demand (VoD) system is in essence an optimization task aimed at minimizing the cost of communication and storage in the corresponding network. The decision variables of this problem are the locations of the nodes plus the content which should be cached in each node. Furthermore, an assignment strategy is needed to determine, for each customer, which node should be contacted for each video file. While this problem is categorized in the general group of network optimization problems, its specific characteristics demand a new solution to be sought for it. In this paper, inspired by the success of fuzzy optimization for similar problems in coding, a fuzzy objective function is derived which is heuristically shown to minimize the communication cost in a VoD network, while controlling the storage cost as well. Then, an iterative algorithm is proposed to find an optimum solution to the proposed problem. After addressing the mathematical details of the proposed method, a sample problem is presented followed by the solution produced for it by the proposed method. This solution is then extensively analyzed.
Keywords :
decision theory; fuzzy set theory; minimisation; telecommunication network topology; video on demand; assignment strategy; communication cost minimization; decision variable; fuzzy design; fuzzy set theory; network optimization problem; video-on-demand network; Clustering algorithms; Cost function; Design optimization; Fuzzy control; Heuristic algorithms; Information technology; Libraries; Signal design; Signal processing algorithms; Video signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology, 2007 IEEE International Symposium on
Conference_Location :
Giza
Print_ISBN :
978-1-4244-1834-3
Electronic_ISBN :
978-1-4244-1835-0
Type :
conf
DOI :
10.1109/ISSPIT.2007.4458005
Filename :
4458005
Link To Document :
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