Dynamic bandwidth provisioning for data service is an efficient way to optimize network resource utilization. For the purpose of dynamical bandwidth provisioning, we need a model that can capture online the traffic characteristics and facilitate mathematical analysis. A mixture of gamma distributions can approximate any distribution with nonnegative support as closely as desired. It can not only characterize field data well, but also facilitate analytically tractable results far performance evaluation. This paper uses a Gamma mixture to model Internet traffic and proposes an online algorithm to fit the model to actual Internet traffic. The fitted model is applied to provision bandwidth dynamically, and many simulation and experimental results are also provided.
['Zikuan Liu', 'Jalal Almhana', 'Vartan Choulakian', 'Robert McGorman']
Traffic modeling with gamma mixtures and dynamical bandwidth provisioning