Assessment of Configuration Stability and Variability in Collections of Self-Adaptive Systems

Tomforde, Sven; Goller, Martin

doi:10.1109/acsos-c52956.2021.00038

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Quantifying the Adaptation Behaviour1

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2023

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Cited by 2 publications

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“…To answer that question, we need measurements to identify abnormal adaptation processes in the system. In previous work, we presented a few measures for that purpose: Configuration stability [Goller and Tomforde (2020)], configuration variability [Tomforde and Goller (2021a)], configuration coherence [Tomforde and Goller (2021b)] and parameter utilisation [Goller and Tomforde (2022)].…”

Section: Quantifying the Adaptation Behaviourmentioning

confidence: 99%

A Quantification Approach for Transferability in Lifelike Computing Systems

Goller¹,

Tomforde²

2023

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The basic idea of lifelike computing systems is the transfer of concepts in living systems to technical use that goes even beyond existing concepts of self-adaptation and selforganisation (SASO). As a result, these systems become even more autonomous and changeable -up to a runtime transfer of the actual target function. Maintaining controllability requires a complete and dynamic (self-)quantification of the system behaviour with regard to aspects of SASO but also, in particular, lifelike properties. In this article, we discuss possible approaches for such metrics and establish a first metric for transferability. We analyse the behaviour of the metric using example applications and show that it is suitable for describing the system's behaviour at runtime.

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