Distributed Management of CPU Resources for Time-Sensitive Applications

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


The number of applications sharing the same embedded device is increasing dramatically. Very efficient mechanisms (resource managers) for assigning the CPU time to all demanding applications are needed. Unfortunately, existing optimization-based resource managers consume too much resource themselves. In this paper, we address the problem of distributed convergence to fair allocation of CPU resources for time-sensitive applications. We propose a novel resource management framework where both applications and the resource manager act independently trying to maximize their own performance measure according to a utility-based adjustment process. 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. It is shown analytically that fair resource allocation can be achieved through the proposed adjustment process when the CPU is overloaded. Experiments using the TrueTime Matlab toolbox show the validity of the proposed approach.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Control Engineering
Original languageEnglish
Title of host publication[Host publication title missing]
PublisherIEEE--Institute of Electrical and Electronics Engineers Inc.
Number of pages8
Publication statusPublished - 2013
Publication categoryResearch
EventAmerican Control Conference, 2013 - Washington, D.C., Washington, DC , United States
Duration: 2013 Jun 172016 Jun 19

Publication series

ISSN (Print)0743-1619


ConferenceAmerican Control Conference, 2013
CountryUnited States
CityWashington, DC