By Alternatives Economiques
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Additional resources for Les marchés financiers (Alternatives Economiques - Hors Serie N°87)
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We believe that in any routing algorithm which depend on residual bandwidth in network links in order to choose LSPs: consideration of the future load value will optimize the routing performance more effectively. Therefore, we propose to build an accurate traffic predictor that will be able to predict the actual traffic behaviour. The future links load depends on many parameters such as network topology, network load condition (inter-arrival rate and holding time of the requests in the network) and the behaviour of selected routing algorithm.
Mining the network value of customers. In: KDD 2001: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 57–66. ACM Press, New York (2001) 3. : Network games (2007) 4. : The effect of network topology on the spread of epidemics. In: Proceedings IEEE Infocom (2005) 5. : Diffusion of behavior and equilibrium properties in network games. American Economic Review (Papers and Proceedings) 97(2), 92–98 (2007) 6. : Random graphs. Wiley-Interscience Series in Discrete Mathematics and Optimization.
Routing algorithms [4] can be classified to static or dynamic according to the nature of E. Altman and A. ): NET-COOP 2008, LNCS 5425, pp. 45–52, 2009. A. Turky and A. Mitschele-Thiel information used for selecting LSP routes. Static algorithms depend on fixed information which does not change with time; dynamic algorithms use the current state of the network. Also, routing algorithms can be executed either online or offline according to when the computation is done. In online routing algorithms path requests are attended to one by one request.