OR Control Towers: A Concept for Optimizing the Performance of Complex Adaptive Operating Systems

Joachim Block () and Stefan Pickl
Additional contact information
Joachim Block: Department of Computer Science, COMTESSA
Stefan Pickl: Universität der Bundeswehr München

A chapter in Operations Research Proceedings 2018, 2019, pp 491-497 from Springer

Abstract: Abstract The optimization of complex adaptive operating systems is certainly a challenge. Such a system exhibits emergent behavior through learning and adaption of the entities it is composed of. We propose the OR control tower concept to address the optimization problems going along with these systems. We introduce a dedicated entity, the OR control tower, which not only has full overview of the system but is also able to force the system’s behavior into an optimal direction. Besides an observation component, the OR control tower has implemented an, e.g. simulation based, optimization algorithm. The tower influences the system by a control stimulus or a system reconfiguration when the performance is not adequate anymore. Our concept could make complex adaptive operating systems more stable and even resilient.

Keywords: Optimization; Complex adaptive systems; Control tower (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:oprchp:978-3-030-18500-8_61

Ordering information: This item can be ordered from
http://www.springer.com/9783030185008

DOI: 10.1007/978-3-030-18500-8_61

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().