Adaptive optimization for active queue management supporting TCP flows
| Autor: | Baldi, S., Kosmatopoulos, E. B., Pitsillides, Andreas, Lestas, Marios, Ioannou, Petros A., Wan, Y. |
|---|---|
| Přispěvatelé: | Pitsillides, Andreas [0000-0001-5072-2851] |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Optimization
0209 industrial biotechnology Mathematical optimization Adaptive optimization Computer science 020206 networking & telecommunications 02 engineering and technology Random early detection Active queue management Optimal control Network topology Telecommunications network Communication networks 020901 industrial engineering & automation Mathematical model Flow (mathematics) 0202 electrical engineering electronic engineering information engineering Delays Queue Protocols |
| Zdroj: | Proceedings of the 2016 American Control Conference (ACC2016) ACC Proceedings of the American Control Conference 2016 American Control Conference, ACC 2016 |
| Popis: | 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). 2016-July 751 756 Sponsors: Adaptics et al. GE Global Research MathWorks Mitsubishi Electric Research Laboratory (MERL) Quanser Conference code: 123142 Cited By :1 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|