An Ontological Architecture for Principled and Automated System of Systems Composition

Elhabbash, Abdessalam and Nundloll, Vatsala and Elkhatib, Yehia and Blair, Gordon and Sanz Marco, Vicent (2020) An Ontological Architecture for Principled and Automated System of Systems Composition. In: 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems :. ACM, 85–95. ISBN 9781450379625

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Abstract

A distributed system's functionality must continuously evolve, especially when environmental context changes. Such required evolution imposes unbearable complexity on system development. An alternative is to make systems able to self-adapt by opportunistically composing at runtime to generate systems of systems (SoSs) that offer value-added functionality. The success of such an approach calls for abstracting the heterogeneity of systems and enabling the programmatic construction of SoSs with minimal developer intervention. We propose a general ontology-based approach to describe distributed systems, seeking to achieve abstraction and enable runtime reasoning between systems. We also propose an architecture for systems that utilize such ontologies to enable systems to discover and `understand' each other, and potentially compose, all at runtime. We detail features of the ontology and the architecture through two contrasting case studies. We also quantitatively evaluate the scalability and validity of our approach through experiments and simulations. Our approach enables system developers to focus on high-level SoS composition without being tied down with the specific deployment-specific implementation details.

Item Type:
Contribution in Book/Report/Proceedings
Additional Information:
© ACM, 2020. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in SEAMS '20: Proceedings of the IEEE/ACM 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2020, https://dl.acm.org/doi/10.1145/3387939.3391602
ID Code:
142189
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Deposited On:
10 Mar 2020 09:15
Refereed?:
Yes
Published?:
Published
Last Modified:
16 Oct 2024 01:04