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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 foreign convention on Analytical and Stochastic Modeling strategies and purposes, 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 offered have been rigorously 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 & method algebra; functionality & reliability research of varied systems.

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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

For network providers, unnecessary long transfer paths impose higher load on peering and interconnection routes including expensive intercontinental links [6][23]. Figure 1 illustrates the different behaviour of CDN and P2P networks, depicting a usual topology of broadband access networks, where tree-shaped access regions are attached to edge routers of the backbone at points of presence (PoPs). Considering large provider networks serving millions of subscribers, it can be expected that a majority of the data of a global file sharing network is already found to be replicated on the platform of the same Internet service provider (ISP) and often already in the same access region of a P2P downloader.

NeXt Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A Survey. Computer Networks Journal 50, 2127–2159 (2006) 5. : A Survey on Spectrum Management in Cognitive Radio Networks. IEEE Communications Magazine 46(4), 40–48 (2008) 6. html 7. : Analysis of Cognitive Radio Spectrum Access with Optimal Channel Reservation. A. Kalil, H. Al-Mahdi, and A. Mitschele-Thiel 8. : Dynamic Spectrum Access in Open Spectrum Wireless Networks. IEEE Journal on Selected Areas in Communications 24(3), 626–637 (2006) 9.

With these in mind, TE = 3 is the best selection as expected and seen in our results. 5 × TR in a more generalized scheme. 008 40 42 44 46 Time (s) 48 50 52 40 42 44 46 Time (s) 48 50 52 Fig. 7. Comparison of delay of paths at different Fig. 8. Comparison of pheromone of paths time (bottom graph) along with chosen path (top at different time (bottom graph) along with graph) in the commercial IRC in scenario 2 chosen path (top graph) in the ant based IRC in scenario 1 As for TR and TM parameters, the bigger the TM is, the faster ants tend to find the best path.

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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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