English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The control of large queueing networks is a notoriously difficult problem.Recently, an interesting new policy design framework for the control problemcalled h-MaxWeight has been proposed: h-MaxWeight is a natural generalizationof the famous MaxWeight policy where instead of the quadratic any othersurrogate value function can be applied. Stability of the policy is thenachieved through a perturbation technique. However, stability crucially dependson parameter choice which has to be adapted in simulations. In this paper weuse a different technique where the required perturbations can be directlyimplemented in the weight domain, which we call a scheduling field then.Specifically, we derive the theoretical arsenal that guarantees universalstability while still operating close to the underlying cost criterion.Simulation examples suggest that the new approach to policy synthesis can evenprovide significantly higher gains irrespective of any further assumptions onthe network model or parameter choice.

Stability and Cost Optimization in Controlled Random Walks Using Scheduling Fields