Aspects of Measuring and Evaluating the Integration Status of a (Sub-)System at Runtime

Gruhl, Christian; Tomforde, Sven; Sick, Bernhard

doi:10.1109/fas-w.2018.00047

Cited by 10 publications

(5 citation statements)

References 32 publications

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“…As a result, parts of the decisions of a lifelike system are about the current integration into such a constellation, resulting in 'self-improving system integration' [Bellman et al (2021)]. Although there is currently no integration measure available, recent work suggests that such an integration state is probably a multi-objective function that builds upon metrics mentioned in the context of SASO measures [Gruhl et al (2018)].…”

Section: Possible Quantification Aspectsmentioning

confidence: 99%

A Quantification Approach for Transferability in Lifelike Computing Systems

Goller¹,

Tomforde²

2023

Preprint

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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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Section: Possible Quantification Aspectsmentioning

confidence: 99%

A Quantification Approach for Transferability in Lifelike Computing Systems

Goller¹,

Tomforde²

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…The goals to be achieved typically not only cover a single objective -more likely they may comprise several (possibly conflicting) aspects. There may even be a deviation between goals of the overall system and the individual component subsystems, see [19] or [20].…”

Section: Basic Terminology: Self-improving System Integrationmentioning

confidence: 99%

“…However, this utility is not necessarily a single objective. It may also be composed of several aspects, and these aspects can potentially conflict, as highlighted in [19], requiring negotiation and mediation processes to make the appropriate trade-offs for any given situation. While ideally different constituents negotiate among themselves, we might need a third party or external process to ensure a beneficial outcome for the overall system -this is covered by "mediation" efforts.…”

Section: Basic Terminology: Self-improving System Integrationmentioning

confidence: 99%

“…This can be combined with metrics quantifying a degree of self-adaptation [61] or self-organisation [21] for the basic SASO capabilities. The recent effort focuses on determining measurable qualities for system integration status [19].…”

Section: System Aspectsmentioning

confidence: 99%

“…Assessment and research gap: Most of the adaptation issues of self-integrating systems seem to be addressable by means of standard mechanism for self-adaptation. However, as outlined in [19], the assessment of the integration status is usually a multi-criteria problem. Open questions include how to incorporate multiple, potentially conflicting goals in the decisions logic, how to prioritise dynamically between goals, and how to integrate user guidance efficiently in this process.…”

Section: Integration Aspectsmentioning

confidence: 99%

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