Effective Bandwidth Estimation in Data Networks: An Analysis for Two Traffic Characterizations

作     者：José Bavio Carina Fernández Beatriz Marrón 

作者机构：Departamento de MatemáticaUniversidad Nacional del SurAv.Alem 1253Bahía Blanca8000Argentina 

出 版 物：《Electrical Science & Engineering》 (电气科学与工程（英文）)

年 卷 期：2021年第3卷第1期

页      面：23-29页

学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学] 

主　　题：Effective bandwidth Markov fluid model Kernel estimation Data networking Monte Carlo Markov Chain algorithms 

摘      要：The Generalized Markov Fluid Model(GMFM)is assumed for modeling sources in the network because it is versatile to describe the traffic *** order to estimate resources allocations or in other words the channel occupation of each source,the concept of effective bandwidth(EB)proposed by Kelly is *** this paper we use an expression to determine the EB for this model which is of particular interest because it allows expressing said magnitude depending on the parameters of the *** paper provides EB estimates for this model applying Kernel Estimation techniques in data *** particular we will study two differentiated cases:dispatches following a Gaussian and Exponential *** performance of the proposed method is analyzed using simulated traffic traces generated by Monte Carlo Markov Chain *** estimation process worked much better in the Gaussian distribution case than in the Exponential one.