Carwehl, Marc, Imrie, Calum Corrie, Vogel, Thomas et al. (3 more authors) (2024) Formal Synthesis of Uncertainty Reduction Controllers. In: 19th International Conference on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2024). 19th International Conference on Software Engineering for Adaptive and Self-Managing Systems, 15-16 Apr 2024 ACM , PRT
Abstract
In its quest for approaches to taming uncertainty in self-adaptive systems (SAS), the research community has largely focused on solutions that adapt the SAS architecture or behaviour in response to uncertainty. By comparison, solutions that reduce the uncertainty affecting SAS (other than through the blanket monitoring of their components and environment) remain underexplored. Our paper proposes a more nuanced, adaptive approach to SAS uncertainty reduction. To that end, we introduce a SAS architecture comprising an uncertainty reduction controller that drives the adaptive acquisition of new information within the SAS adaptation loop, and a tool-supported method that uses probabilistic model checking to synthesise such controllers. The controllers generated by our method deliver optimal trade-offs between SAS uncertainty reduction benefits and new information acquisition costs. We illustrate the use and evaluate the effectiveness of our approach for mobile robot navigation and server infrastructure management SAS.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 19 Mar 2024 08:40 |
Last Modified: | 11 Mar 2025 00:02 |
Status: | Published |
Publisher: | ACM |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:210489 |