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Stochastic TCO Minimization for Video Transmission over IP Networks

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Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
From the viewpoint of service operators the Total Cost of Ownership (TCO) for developing a communication service comprises from two parts; CAPital EXpenditure (CAPEX) and OPerational EXpenditure (OPEX). These two types of costs are interrelated and affect any service provider’s deployment strategy. In many traditional methods, selection of critical elements of a new service is performed in a heuristic manner aimed at reducing only the OPEX part of the TCO which is not necessarily optimal. Furthermore, exact cost modeling for such services is not always possible and contains some uncertainties. In the current work, after cost modeling of each video streaming element by capturing the effect of the model uncertainties, the TCO optimization problem for video streaming over IP networks is formulated as a stochastic optimization problem. The solution of the proposed optimization problem can cope with the cost modeling uncertainties and track the dynamism in the TCO and lead to a time-varying optimal solution. Numerical analysis results verify the developed method.
Słowa kluczowe
EN
TCO   CAPEX   OPEX   IPTV   VOD   SA  
Rocznik
Strony
3--9
Opis fizyczny
Bibliogr. 19 poz., rys.
Twórcy
autor
  • Multimedia systems group, IT faculty of Iran Telecom Research Center (ITRC), End of the north Karegar st., Tehran, Iran
Bibliografia
  • [1] “In-home triple play delivery,” Zhone technologies, Tech. Rep., 2004.
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  • [3] P. Goudarzi, “Dynamic total cost of ownership optimization for IPTV service deployment,” Journal of Applied Sciences, vol. 9, no. 4, pp.707–715, 2009.
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  • [8] P. Goudarzi, “Dynamic total cost of ownership optimization for IPTV service deployment,” Journal of Applied Sciences, vol. 9, no. 4, pp. 707–715, 2009.
  • [9] “IPTV architecture requirements,” ATIS, IIF, Tech. Rep. 0800002, 2006.
  • [10] D. Ardanga and F. Chiara, “A cost-oriented methodology for the design of web based IT architectures,” in Proc. ACM symposium on Applied Computing, Mar. 2002, pp. 1127–1133.
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  • [15] A. Tanenbaum, Computer networks. Prentice Hall, 2002.
  • [16] D. P. Bertsekas, Nonlinear Programming, 2nd ed. Athena Scientific, 1999.
  • [17] D. G. Luenberger, Linear and Nonlinear Programming, 2nd ed. Addison-Wesley Publishing Company, 1984.
  • [18] H. Robbins and S. Monro, “A stochastic approximation method,” Annals of Mathematical Statistics, vol. 22, no. 3, pp. 400–407, 1951.
  • [19] V. Fabian, Optimizing Methods in Statistics. New York: Academic Press, 1971, ch. Stochastic Approximation, pp. 439–470.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0932f26b-7348-4f24-9bc6-a2ce9a3a8b6f
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