We propose an actuator mechanism to enable and improve scalable control of bidding based networks. The mechanism is a bid randomization strategy referred to as Heisenberg bidding, which is used to modify the effective plant gain of a system involving a large number of similar objects distributed via an auction exchange. The bid randomization mechanism is used in a time-varying model-reference adaptive controller and applied to a problem of satisfying traffic commitments in the content network of a major web portal.
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