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.
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Gu, C., Zhang, S. (2011). Self-Adaptive QoS Control Mechanism in Cognitive Networks Based on Intelligent Service Awareness. In: Gong, Z., Luo, X., Chen, J., Lei, J., Wang, F.L. (eds) Web Information Systems and Mining. WISM 2011. Lecture Notes in Computer Science, vol 6987. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23971-7_51
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DOI: https://doi.org/10.1007/978-3-642-23971-7_51
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