Abstract
Traffic characterization and modeling has been an extensive area of research in the last few years. Many of these studies aim at constructing accurate models to predict the network performance. Performance studies includes: analysis of admission control algorithms, buffer dimensioning, and many others. Several steps are needed to conduct a performance study. First, it is necessary to characterize the traffic generated by the applications, second it is important to choose an appropriate model to represent this traffic. The analysis of the accuracy of a traffic model is, in general, based on the match of some descriptors and on how well it predicts the performance measures. Finally, the user would like to construct and solve a network performance model. A large number of models have been proposed in the literature to describe a variety of traffic generated by data, audio and video sources. The model which is the more accurate for each type of traffic is still an open issue in the literature, and thus it is important to provide an environment to aid the user in the development and analysis of traffic models. The focus of this study is two-fold: to obtain analytical expressions for some important traffic descriptors calculated from general Markovian models and to present a set of modules we have implemented to provide an environment useful for traffic modeling, analysis and experimentation. These modules are currently being integrated in the TANGRAM-II modeling tool.
This work is supported in part by grants from CNPq/ProTeM.
This work is supported in part by grants from CNPq/ProTeM and PRONEX.
Sidney C. de Lucena has fellowship from CAPES.
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Leão, R.M.M., de Souza e Silva, E., de Lucena, S.C. (2000). A Set of Tools for Traffic Modeling, Analysis and Experimentation. In: Haverkort, B.R., Bohnenkamp, H.C., Smith, C.U. (eds) Computer Performance Evaluation.Modelling Techniques and Tools. TOOLS 2000. Lecture Notes in Computer Science, vol 1786. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46429-8_4
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