Cognitive frequency hopping based on interference prediction: theory and experimental results
ACM SIGMOBILE Mobile Computing and Communications Review
Multivariate fairly normal traffic model for aggregate load in large-scale data networks
WWIC'10 Proceedings of the 8th international conference on Wired/Wireless Internet Communications
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Dynamic bandwidth provisioning for data service is an efJicient way to optimize network resource utilization. For the purpose of dynamical bandwidth provisioning, we need a model that can capture online the trafJic 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 characterizejield data well, but also facilitate analytically tractable results forpedormance evaluation. This paper uses a Gamma mixture to model Znternet trafJic and proposes an online algorithm to fit the model to actual Internet trafJic. The jitted model is applied to provision bandwidth dynamically, and many simulation and experimental results are also provided.