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Tytuł artykułu

Application of open multi-commodity market data model on the communication bandwidth market

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Języki publikacji
EN
Abstrakty
EN
In the paper the market model for balancing communication bandwidth trade (BCBT) is analyzed in the form of multi-commodity market data model (M3). The distinguishing feature of BCBT model is that it assumes that market players can place buy offers not only for isolated network resources - inter-node links, but also for end-to-end network paths of predefined capacity, that is, every offer concerns a point-to-point bandwidth connection between a pair of specified locations in a communication network. The model enables effective balancing of sell and buy offers for network resources in a way which maximizes global economic welfare. The open multi-commodity market data model provides efficient and clear mechanisms, which support the environment of auctions and multi-commodity exchanges, especially when the trade is constrained by the infrastructure resources. Thus the model may be used in designing open information systems for market balancing and clearing in the context of multicommodity trade in various network infrastructure sectors.
Rocznik
Tom
Strony
45--50
Opis fizyczny
Bibliogr. 15 poz., rys.
Twórcy
autor
autor
autor
autor
autor
  • Institute of Control and Computation Engineering, Warsaw University of Technology Nowowiejska st 15/19, 00-665 Warsaw, Poland, P.Kacprzak@elka.pw.edu.pl
Bibliografia
  • [1] G. Cheliotis, “A market-based model of bandwidth and a new approach to end-to-end path computation with quality guarantees”,Technical Report, IBM Research, Zurich, 2000.
  • [2] S. S. Chiu and J. P. Crametz, “Taking advantage of the emerging bandwidth exchange market”, White paper, RateXchange Ltd., 1999.
  • [3] C. Courcoubetis, M. P. Dramitinos, and G. D. Stamoulis, “An auction mechanism for bandwidth allocation over paths”, in 17th Int. Teletraf. Congr. ITC-17, Salvador da Bahia, Brazil, 2001, pp. 1163–1173.
  • [4] C. Courcoubetis, R. Weber, and M. Coe, Pricing Communication Networks: Economics, Technology and Modeling. New York: Wiley, 2003.
  • [5] L. A. DaSilva, “Pricing for QoS-enabled networks: a survey”, IEEE Commun. Surv. Tutor., vol. 3, no. 2, pp. 14–20, 2000.
  • [6] P. Kacprzak, M. Kaleta, P. Pałka, K. Smolira, E. Toczyłowski, and T. Traczyk, “M3: open multi-commodity market data model for net- work systems”, in Proc. XVI Int. Conf. Syst. Sci., Wrocław, Poland, 2007.
  • [7] P. Kacprzak, M. Kaleta, P. Pałka, K. Smolira, E. Toczyłowski, and T. Traczyk, “Open multi-commodity market data model for network systems”, Technical Report, Warsaw University of Technology, Institute of Control and Computation Engineering, 2006.
  • [8] The Economic Theory of Auctions, P. Klemperer, Ed. Cheltenham: Elgar, 2000.
  • [9] A. A. Lazar and N. Semret, “Design and analysis of progressive second price auction for network bandwidth sharing”, Telecommun. Syst. (Special Issue on Network Economics), 2000.
  • [10] J. K. MacKie-Mason and H. R. Varian, “Pricing the Internet”, in Public Access to the Internet, B. Kahin and J. Keller, Eds. Cam- bridge: MIT Press, 1995, pp. 269–314.
  • [11] “Multi-commodity market model (M3)”, http://www.openM3.org
  • [12] M. Pioro and D.Medhi, Routing, Flow, and Capacity Design in Communication and Computer Network. San Francisco: Morgan Kaufman, 2004.
  • [13] W. Stańczuk and K. Goworek, “Metody ustalania cen usług w sieciach pakietowych”, Przegląd Telekomunikacyjny i Wiadomości Telekomunikacyjne, nr 11–12, 2002 (in Polish).
  • [14] W. Stańczuk, J. Lubacz, and E. Toczyłowski, “Trading links and paths on a communication bandwidth market”, Technical Report, Warsaw University of Technology, Institute of Telecommunication, 2007.
  • [15] E. Toczyłowski, Optymalizacja procesow rynkowych przy ograniczeniach. Warsaw: EXIT, 2002 (in Polish).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT8-0010-0014
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