Network Traffic Classification and Demand Prediction
Mikhail Dashevskiy and Zhiyuan Luo, Computer Learning Research Centre, Department of Computer Science, Royal Holloway, University of London, United Kingdom
Abstract
Reliable classification of network traffic and accurate demand prediction can offer substantial benefits to service differentiation, enforcement of security policies, and traffic engineering for network operators and service providers. For example, dynamic resource allocation with the support of traffic prediction can efficiently utilize the network resources and support quality of service. One of the key requirements for dynamic resource allocation framework is to predict traffic in the next control time interval based ...
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