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Techno-economic analysis of SysML models

Authors: Mara Nikolaidou; Christos Michalakelis;

Techno-economic analysis of SysML models

Abstract

SysML is a prominent standard serving model-based system design for systems-of-systems (SoS). It facilitates the description of complex system design, as a hierarchy of interacting system components, while at the same time enables the independent description of each component behaviour. However, in order for the system designer to decide whether a SoS architecture is efficient, non-functional properties, such as performance or cost, should also be taken into consideration. There are numerous efforts integrating performance properties into SysML models and their verification using stochastic or analytical methods. In this paper, we focus on the financial assessment of SysML models, estimating economic attributes of SoS architectures, such as Total Cost of Ownership (TCO) and Return of Investment (ROI). Integrating different viewpoints into SysML SoS models, focusing besides structure and behaviour, also performance and economic attributes, enables the system designer to explore alternative solutions for system design, having in mind a wider perspective of the system under investigation. To this end, a profile extending SysML to serve techno-economic analysis of systems is introduced. As an example, the Total Cost of Ownership (TCO) for cloud infrastructures, modelled as SoS is explored. TCO properties are incorporated into existing SysML cloud models, enabling the designer to compute TCO for the whole system or parts of it.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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