Design and Implementation of Distributed Resource Management for Time Sensitive Applications
Författare
Summary, in English
In this paper, we address distributed convergence to fair allocations of CPU resources for time-sensitive applications. We propose a novel resource management framework where a centralized objective for fair allocations is decomposed into a pair of performance-driven recursive processes for updating: (a) the allocation of computing bandwidth to the applications (resource adaptation), executed by the resource manager, and (b) the computational demand of each application (service-level adaptation), executed by each application independently. We provide conditions under which the distributed recursive scheme exhibits convergence to solutions of the centralized objective (i.e., fair allocations). Contrary to prior work on centralized optimization schemes, the proposed framework exhibits adaptivity and robustness to changes both in the number and nature of applications, while it assumes minimum information available to both applications and the resource manager. We finally validate our framework with simulations using the TrueTime toolbox in MATLAB/Simulink.
Avdelning/ar
Publiceringsår
2016
Språk
Engelska
Sidor
44-53
Publikation/Tidskrift/Serie
Automatica
Volym
64
Länkar
Dokumenttyp
Artikel i tidskrift
Förlag
Pergamon Press Ltd.
Ämne
- Control Engineering
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 0005-1098