Read e-book online Analytical and Stochastic Modeling Techniques and PDF

By Ulf Jensen, Armin Heindl (auth.), Khalid Al-Begain, Dieter Fiems, Gábor Horváth (eds.)

ISBN-10: 3642022057

ISBN-13: 9783642022050

This publication constitutes the refereed court cases of the sixteenth overseas convention on Analytical and Stochastic Modeling thoughts and purposes, ASMTA 2009, held in Madrid, Spain, in June 2009 along with ECMS 2009, the 23nd ecu convention on Modeling and Simulation.

The 27 revised complete papers awarded have been conscientiously reviewed and chosen from fifty five submissions. The papers are equipped in topical sections on telecommunication networks; instant & cellular networks; simulation; quueing platforms & distributions; queueing & scheduling in telecommunication networks; version checking & technique algebra; functionality & reliability research of assorted systems.

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Read or Download Analytical and Stochastic Modeling Techniques and Applications: 16th International Conference, ASMTA 2009, Madrid, Spain, June 9-12, 2009. Proceedings PDF

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However, since IRC systems are commercial products, only the basic implementation guidelines are discussed thus far. In this paper, we apply traditional ant colony optimization (ACO) paradigm to study these systems deeply. Because, as we observe throughout the paper, the way ants select their path to a food source using their heuristic pheromone-basis ACO paradigm is very similar to commercial IRC systems deployment. We translate the IRC problem into ant colony domain where ants are seeking the best egress path between their multihomed colony and source food destinations.

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In the coming subsections we address these questions. 1 Ant Colony Model We consider a simple multihomed network with an IRC capable edge router which major traffic is destined to several probably big networks which are given a priori. In our model, the source IRC-equipped stub network represents the ant colony while each of its major destinations is like a food source to which ants are trying to find the best path (Fig. 2). In the ant based IRC system, ants play the role of the routing probes the edge router periodically transmits through its upstream links in order to obtain performance metrics of each of its paths to a specific destination.

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Analytical and Stochastic Modeling Techniques and Applications: 16th International Conference, ASMTA 2009, Madrid, Spain, June 9-12, 2009. Proceedings by Ulf Jensen, Armin Heindl (auth.), Khalid Al-Begain, Dieter Fiems, Gábor Horváth (eds.)


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