Adaptive optimization for active queue management supporting TCP flows
Date
2016ISBN
978-1-4673-8682-1Publisher
Institute of Electrical and Electronics Engineers Inc.Source
Proceedings of the American Control Conference2016 American Control Conference, ACC 2016
Volume
2016-JulyPages
751-756Google Scholar check
Metadata
Show full item recordAbstract
An adaptive decentralized strategy for active queue management of TCP flows over communication networks is presented. The proposed strategy solves locally, at each link, an optimal control problem, minimizing a cost composed of residual capacity and buffer queue size. The solution of the optimal control problem exploits an adaptive optimization algorithm aiming at adaptively minimizing a suitable approximation of the Hamilton-Jacobi-Bellman equation associated with the optimal control problem. Simulations results, obtained by using a fluid flow based model of the communication network and a common network topology, show improvement with respect to the Random Early Detection strategy. Besides, it is shown that the performance of the proposed decentralized solution is comparable with the performance obtained with a centralized strategy, which solves the optimal control problem via a central unit that maintains the flow states of the entire network. © 2016 American Automatic Control Council (AACC).