Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Publication date | 11/11/2021 |
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Host publication | Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021 |
Editors | Carl K. Chang, Ernesto Damiani, Jing Fan, Parisa Ghodous, Michael Maximilien, Zhongjie Wang, Robert Ward, Jia Zhang |
Publisher | IEEE |
Pages | 712-723 |
Number of pages | 12 |
ISBN (electronic) | 9781665416818 |
ISBN (print) | 9781665416825 |
<mark>Original language</mark> | English |
Name | Proceedings - 2021 IEEE International Conference on Web Services, ICWS 2021 |
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Self-awareness is a crucial capability of autonomous service-based systems that enables them to self-adapt. There are different types of self-awareness whereby certain types of knowledge are captured at various levels. We argue that effective management of the trade-offs of dependability requirements can be achieved through 'seamless' switching between different levels of awareness. However, the assessment of the quality of knowledge to enable dynamic switching between self-awareness levels has not been tackled yet. We propose a general architecture that exploits symbiotic simulation in order to tackle the complexity of assessing the quality of knowledge and attaining the meta-self-awareness property, wherein the system can reflect on its different levels of awareness. We conduct a thorough real-world study in the context of volunteer services. We conclude that a system made meta-self-aware using our approach achieves optimal performance by activating the most suitable awareness level. This comes at the cost of a modest computational overhead.