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. © 2011 Springer-Verlag.
CITATION STYLE
Gu, C., & Zhang, S. (2011). Self-adaptive QoS control mechanism in cognitive networks based on intelligent service awareness. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6987 LNCS, pp. 402–410). https://doi.org/10.1007/978-3-642-23971-7_51
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