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Optimal capacity and buffer size estimation under generalized Markov Fluids models and QoS parameters
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作者 José Bavio Beatriz Marrón 《International Journal of Modeling, Simulation, and Scientific Computing》 EI 2014年第S01期14-27,共14页
Quality of service(QoS)for internet trafic management requires good trafic models and good estimation of sharing network resource.A link of a network processes all trafic and it is designed with certain capacity C and... Quality of service(QoS)for internet trafic management requires good trafic models and good estimation of sharing network resource.A link of a network processes all trafic and it is designed with certain capacity C and buffer size B.A Generalized Markov Fluid model(GMFM),introduced by Marr6n(2012),is assumed for the sources because it describes in a versatile way the traffic,allows estimation based on traffic traces,and also consistent effective bandwidth(EB)estimation can be done.QoS,interpreted as buffer overflow probability,can be estimated for GMFM through the EB estimation and solving the optimization problem presented in Courcoubetis and Siris[Perform.Eval.48:5-23,2002],the so-called inf-sup formulas.In this work,we implement a code to solve the inf-sup problem and other optimization related with it,that allow us to do traffic engineering in links of data networks to calculate both,minimum capacity required w hen QoS and buffer size are given or minimum buffer size required when QoS and capacity are given. 展开更多
关键词 markov sources traffic analysis effective bandwidth
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