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Passivity Approach to Dynamic Distributed Optimization for Network Traffic Management. John T. Wen, Murat Arcak, Xingzhe Fan Department of Electrical, Computer, & Systems Eng. Rensselaer Polytechnic Institute Troy, NY 12180. Network Flow Control Problem.
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Passivity Approach to Dynamic Distributed Optimization for Network Traffic Management John T. Wen, Murat Arcak, Xingzhe Fan Department of Electrical, Computer, & Systems Eng. Rensselaer Polytechnic Institute Troy, NY 12180
. . . . Network Flow Control Problem Design source and link control laws to achieve: stability, utilization, fairness, robustness Optimization approach: Kelly, Low, Srikant, … x N y L Rf N sources L links Forward routing matrix (including delays) Source control link control Adjust sending rate based on congestion indication (AIMD, TCP Reno, Vegas) diagonal diagonal AQM: Provide congestion information (RED, REM, AVQ) Rb p L q N Return routing matrix (including delays)
Passivity x u y H A System H is passive if there exists a storage function V(x) 0 such that for some function W(x) 0 If V(x) corresponds to physical energy, then H conserves or dissipates energy. Example: Passive (RLC) circuits, passive structure, etc.
Passivity Approach: Primal Kelly’s Primal Controller -(q-q*) x-x* -(p-p*) -p -q x y + + RT R RT s IL R - - p-p* y-y* p y h1 s-1 IL h -(q-q*) + K - -(q-q*) + g1 (D+C(sI-A)-1B) s-1 IN -(U’(x)-U’(x*)) - g1 s-1 IN -(U’(x)-U’(x*))
. x=K(U’(x)-q)+x Extension • Passive decomposition is not unique: • For first order source controller, the system between –(p-p*) and (y-y*) is also passive. -(p-p*) -(q-q*) x-x* y-y* + RT R - If U’’<0 uniformly (strictly concave), contains a negative definite term in x-x* ---important for robustness! p-p* y-y* h1 • First order dual: (y-y*) to (p-p* ) is also passive • Implementable using delay and loss
. . q q . . p p . . . . = (y-c+ b)+p p = (y-c)+b = (y-c)+b b b = (y-c+ b)+p p Passivity Approach: Dual Low’s Dual Controller + -q x -(q-q*) -U’-1 x-x* + - s-1IL g1-1 - - p y q x p-p* y-y* RT R q-q* x-x* sIL RT R y - c y - c D+C(sI-A)-1B
-p -q x y + RT R . - x= K (U’(x)-q))+x . p y p = (y - c)+p Passivity Approach: Primal/Dual Controller • Consequence of passivity of first order source controller and first order link controller: combined dynamic controller is also stable. • Generalizes Hollot/Chait controller and easily extended to Kunniyur/Srikant controller.
Simulation: Primal Controller (B1:Passive) (A1:Kelly) .25 sec delay
Simulation: Dual Controller (B2:Passive) (A2:Low/Paganini) 1 sec delay
Robustness in Time Delay • Passivity approach provides Lyapunov function candidates to compute quantitative trade-offs between disturbance and performance, and stability bounds on delays.
Extension to CDMA Power Control • Passivity approach is applicable to other distributed optimization problems: minimize power subject to the signal-to-interference constraint.
Extension to Multipath Flow Control • Traffic demand in multipath flow control can be incorporated as additional inequality constraints. Same passivity analysis applicable with demand pricing feedback based on r-Hx. z2=x3+x4+x5≥ r2 x3 x4 x5 x1 x1 x2 z1=x1+x2≥ r1 x2 x5 x3 x4