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Dynamic Dual Decomposition for Distributed Control

We show how dynamic price mechanisms can be used for decomposition and distributed optimization of control systems. A classical method to deal with optimization constraints is Lagrange relaxation, where dual variables are introduced in the optimization objective. When variables of different subproblems are connected by such constraints, the dual variables can be interpreted as prices in a market

Tomorrow is clad in golf shoes, without oil and/or in ruins: Future projections as authority on and off the Scottish North Sea coast

This paper studies the future as “the only field of power, for we can act only on the future” (de Jouvenel 1967:5). As a number of scholars have pointed out (cf. Foucault 1991, Pred 2007) questions of knowledge is integral to political power, and this paper is about the production of knowledge of what can paradoxically not strictly speaking be known – a future space. I focus on how an interplay of

Adaptive Resource Management Made Real

The adaptive resource management framework implemented in the European ACTORS project is presented. A resource manager has been developed that collaborates with a new Linux scheduler providing support for hard constant bandwidth server reservations, in order to adapt applications to changes in resource availability and to adapt the resource allocation to changes in application requirements. The fo