CogProt: A Framework for Cognitive Configuration and Optimization of Communication Protocols
Advancements in network technologies dramatically increased management complexity. Cognitive networking was introduced to deal with this problem, by providing algorithms for autonomous network management and protocol reconfiguration. In this paper, we propose a framework for cognitive configuration and optimization of communication protocols called CogProt. CogProt is a distributed framework that allows dynamic reconfiguration of operational protocol stack parameters for optimizing protocol performance under changing network conditions. As a proof of concept, the framework is illustrated for the cognitive configuration of TCP congestion window evolution. In this setup, the TCP window increase factor is adjusted in runtime based on the TCP goodput experienced in the immediate past. Simulation results demonstrate that the proposed cognitive framework is able to improve average TCP performance under changing network conditions.
Keywordscognitive networks self-configuration cognitive TCP
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