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Design of an optimal AQM controller for the Diffserv architecture

Design of an optimal AQM controller for the Diffserv architecture. Leonardo Rangel / Nelson Fonseca Institute of Computing - IC Unicamp, Campinas, 13086-970, SP, Brazil {leonardo.rangel,nfonseca}@ic.unicamp.br. Congestion Control System. Diffserv: Differentiated Services over the Internet

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Design of an optimal AQM controller for the Diffserv architecture

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  1. Design of an optimal AQM controller for the Diffserv architecture Leonardo Rangel / Nelson Fonseca Institute of Computing - IC Unicamp, Campinas, 13086-970, SP, Brazil {leonardo.rangel,nfonseca}@ic.unicamp.br

  2. Congestion Control System • Diffserv: Differentiated Services over the Internet • Integrated Congestion Control System • TCP congestion control mechanism can dynamically adjust the amount of data that a client sends to network; • AQM mechanisms monitor the queue state at the routers, therefore can detect incipient congestion; • Integrated TCP/AQM Congestion Control System: • AQM role: early notification of incipient congestion to TCP senders; • When notified about the incipient congestion, TCP senders can decrease their transmission rates before queue overflows.

  3. The feedback control system • TCP/AQM viewed as a feedback control system: • The congestion level (router queue size - q) is determined by TCP transmission rate, which is regulated by drop/mark levels; • An appropriate mark/drop probability (p) is calculated by AQM controller, C(s); • The proposed controller also stabilizes the system plant, P(s), minimize jitter and give users a certain minimum guaranteed transmission rate. q p0 p P(s) + q0 δq δp C(s) - A basic feedback control system

  4. Current status • What we already done: • Modeling of TCP flows and AQM routers behavior; • Investigation of the system's best equilibrium point; • Controller synthesis using Optimization and Control Theory; • Implementation of the TCP/AQM system in a continuous-time environment (Simulink/Matlab); • Controller discretization; • Implementation of the controller in a discrete-time dynamic network environment (NS-2). • Next steps: • Define representative NS-2 simulation scenarios; • Simulation and comparison with current proposals.

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