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Analytical and Stochastic Modeling Techniques and - download pdf or read online

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

ISBN-10: 3642022057

ISBN-13: 9783642022050

This e-book constitutes the refereed complaints of the sixteenth foreign convention on Analytical and Stochastic Modeling concepts and functions, ASMTA 2009, held in Madrid, Spain, in June 2009 along side ECMS 2009, the 23nd ecu convention on Modeling and Simulation.

The 27 revised complete papers provided have been conscientiously reviewed and chosen from fifty five submissions. The papers are prepared in topical sections on telecommunication networks; instant & cellular networks; simulation; quueing structures & distributions; queueing & scheduling in telecommunication networks; version checking & approach 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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Extra info for Analytical and Stochastic Modeling Techniques and Applications: 16th International Conference, ASMTA 2009, Madrid, Spain, June 9-12, 2009. Proceedings

Example text

However, if we reduce TE, to 2 seconds or so, the convergence duration may be longer and ants wouldn’t find the best path until the second iteration due to the rapid rate of pheromone evaporation which results in a lower difference between the amount of pheromone on each path. The lower difference of pheromone values in turn makes finding the best path a problematic issue for the ants as a result of probabilistic nature of ants’ movement. On the other hand, a bigger value of TE would make the initial convergence duration lower while bringing about a longer convergence time for the consequence path switching events in the case of sudden congestion on the selected path.

As a result, the problem of 32 H. Hajabdolali Bazzaz and A. , shortest one) which the ants are trying to solve naturally is indeed heuristically solved by this simple approach they follow. Thus far imitating ants’ behavior, diverse numerical problems are solved by employing ACO. See [15] for a complete survey. In this section, after this brief overview on ACO, we formulate the IRC problem as an ACO problem. 1) What are the correspondent elements of IRC in our ant based model? 2) How much pheromone do ants lie down on the path they travel?

A multihomed network with three upstream ISPs Recently by the emergence of Intelligent Route Control (IRC) products [1]-[3], instead of using only one of the upstream links at each time, all egress links are utilized and the IRC edge router dynamically selects the best upstream ISP for every major destination of the network traffic. This is typically done driven by some performance criterion such as delay and loss ratio. As a result, the proliferation of IRC systems by stub networks is not only for bypassing Internet outage but also to have their traffic experience a low latency and packet loss.

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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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