Abstract
The main goals of Internet service providers are to maximize profit and maintain a negotiated quality of service. However, achieving these objectives could become very complex if we know that Internet service users might during the session become highly dynamic and proactive. This connotes changes in user profile or network provider/s profile caused by high level of user mobility or variable level of user demands. This paper proposes a new pricing architecture for serving the highly dynamic customers in context of dynamic user/network environment. The most convenient concept that could comprise highly adaptive and proactive architecture is agent based architecture. The proposed agent based architecture places in context some basic parameters that will enable objective and transparent assessment of the costs for the service those Internet users receive while dynamically change QoS demands and cost profile.
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References
Fulp, E.W., Reeves, D.S.: Optimal Provisioning and Pricing of Internet Differentiated Services in Hierarchical Markets. In: Proceedings of the IEEE International Conference on Networking (2001)
Gupta, A., Stahl, D.O., Whinston, A.B.: The Economics of network management. Communications of the ACM 42(9) (September 1999)
Dutta-Roy, A.: The cost of quality in Internet-style networks. IEEE spectrum, 57–62 (September 2000)
Pras, A., Beijnum, B.J., Sprenkels, R., Parhonyi, R.: Internet Accounting. IEEE Communications Magazine, 108–113 (May 2001)
Dube, P., Liu, Z., Wyner, L., Xia, C.: Competitive equilibrium in e-commerce: Pricing and outsourcing. In: Computers & Operations Research. Elsevier, Amsterdam (2006)
Hayel, Y., Tuffin, B.: A mathematical analysis of the cumulus pricing scheme. Computer Networks (2004)
Jin, N., Jordan, S.: The effect of bandwidth and buffer pricing on resource allocation and QoS. Computer Networks 46 (2004)
Ros, D., Tuffin, B.: A mathematical model of the Paris Metro Pricing scheme for charging packet networks. Computer Networks 46 (2004)
Li, T., Iraqi, Y., Boutaba, R.: Pricing and admission control for QoS enabled Internet. Computer Networks 46 (2004)
Blefari-Melazzi, N., Di Sorte, D., Reali, G.: Accounting and pricing: a forecast of the scenario of the next generation Internet. Computer Communications 26, 2037–2051 (2003)
Wang, X., Schulzrinne, H.: Comparative study of two congestion pricing schemes: auction and tatonement. Computer Networks 46, 111–131 (2004)
Di Sorte, D., Reali, G.: Pricing and brokering services over interconnected networks. Journal of Network and Computer Applications 28, 249–283 (2005)
Žagar, D., Vilendečić, D., Mlinarić, K.: Network Resource Management for the Services with Variable QoS Requirements. In: Conference on Telecommunications, ConTel 2003, Zagreb (2003)
Turk, T., Blažič, B.J.: User’s responsivness in the price-controlled best-effort QoS model. Computer Comunication 24, 1637–1647 (2001)
Wang, M., Liu, J., Wang, H., Cheung, W.K., Xie, X.: On-demand e-supply chain integration: A multi-agent constraint-based approach. Expert Systems with Applications 34, 2683–2692 (2008)
Wang, M., Wang, H., Vogel, D., Kumar, K., Chiu, D.K.W.: Agent -based negotiation and decision making for dynamic supply chain formation. Engineering Applications of Artificial Intelligence (2008)
Comuzzi, M., Francalanci, C., Giacomazzi, P.: Pricing the quality of differentiated services for media-oriented real-time applications: A multi-attribute negotiation approach. Computer Networks 52, 3373–3391 (2008)
Ferguson, P., Huston, G.: Quality of Service on the Internet: Fact, Fiction, or Compromise? In: Proceedings of the INET 1998, Geneva (1998)
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Žagar, D., Rupčić, S., Rimac-Drlje, S. (2009). Agent Based Architecture for Pricing the Services in Dynamic User/Network Environment. In: Nguyen, N.T., Katarzyniak, R.P., Janiak, A. (eds) New Challenges in Computational Collective Intelligence. Studies in Computational Intelligence, vol 244. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03958-4_26
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DOI: https://doi.org/10.1007/978-3-642-03958-4_26
Publisher Name: Springer, Berlin, Heidelberg
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