Design-time Performability Evaluation of Runtime Adaptation Strategies (Work In Progress Paper)
Pages 9 - 15
Abstract
Performability is the classic metric for performance evaluation of static systems in case of failures. Compared to static systems, Self-Adaptive Systems (SASs) are inherently more complex due to their constantly changing nature. Thus software architects are facing more complex design decisions which are preferably evaluated at design-time. Model-Based Quality Analysis (MBQA) provides valuable support by putting software architects in a position to take well-founded design decisions about software system quality attributes over the whole development phase of a system. We claim that combining methods from MBQA and established performability concepts support software architects in this decision making process to design effective fault-tolerant adaptation strategies. Our contribution is a model-based approach to evaluate performability-oriented adaptation strategies of SAS at design-time. We demonstrate the applicability of our approach by a proof-of-concept.
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- Design-time Performability Evaluation of Runtime Adaptation Strategies (Work In Progress Paper)
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Published In
April 2023
421 pages
ISBN:9798400700729
DOI:10.1145/3578245
- General Chairs:
- Marco Vieira,
- Valeria Cardellini,
- Program Chairs:
- Antinisca Di Marco,
- Petr Tuma
Copyright © 2023 ACM.
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Published: 15 April 2023
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ICPE '23
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ICPE '23: ACM/SPEC International Conference on Performance Engineering
April 15 - 19, 2023
Coimbra, Portugal
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