Self-adaptive QoS control mechanism in cognitive networks based on intelligent service awareness

Authors:
Chengjie Gu;Shunyi Zhang
Affiliations:
Institute of Information Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, P.R. China;Institute of Information Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu, P.R. China
Venue:
WISM'11 Proceedings of the 2011 international conference on Web information systems and mining - Volume Part I
Year:
2011

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Abstract

Cognitive network is a network with a cognitive process that can perceive current network conditions, as well as plan, decide and act on those conditions. Through self-learning mechanism and adaptive mechanisms of the network, it achieves the end-end goals. This paper proposes self-adaptive QoS control mechanism in cognitive networks based on intelligent service awareness. In this architecture, network flow can be identified and classified by intelligent service-aware model. Drawing on Control Theory, network traffic can be controlled with a self-adaptive QoS control mechanism that has end-link collaboration in cognitive network. This mechanism can adjust resource allocation, adapt to a changeable network environment, optimize end-to-end performance of the network, and ensure QoS.