Adaptive control using Heisenberg bidding

Author

Karlsson, Niklas

Author_Institution

R&D at Aol Networks, Palo Alto, CA, USA

fYear

2014

fDate

4-6 June 2014

Firstpage

1304

Lastpage

1309

Abstract

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.

Keywords

Internet; model reference adaptive control systems; portals; telecommunication control; telecommunication traffic; time-varying systems; Heisenberg bidding; actuator mechanism; auction exchange; bid randomization mechanism; bid randomization strategy; bidding based networks; content network; effective plant gain; major web portal; scalable control; time-varying model-reference adaptive controller; traffic commitments; Adaptation models; Adaptive systems; Approximation methods; Heuristic algorithms; Internet; Robustness; Uncertainty; Adaptive systems; Control of networks; Emerging control applications;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference (ACC), 2014

Conference_Location

Portland, OR

ISSN

0743-1619

Print_ISBN

978-1-4799-3272-6

Type

conf

DOI

10.1109/ACC.2014.6859107

Filename

6859107