Configuration Optimization with Limited Functional Impact
| Autor: | Guégain, E. (Edouard), Taherkordi, A. (Amir), Quinton, C. (Clément) |
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| Přispěvatelé: | Self-adaptation for distributed services and large software systems (SPIRALS), Inria Lille - Nord Europe, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 (CRIStAL), Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Centrale Lille-Université de Lille-Centre National de la Recherche Scientifique (CNRS), University of Oslo (UiO), ANR-19-CE25-0003,Koala,Configurations d'environnements fog large-échelle(2019), Self-adaptation for distributed services and large software systems [SPIRALS], University of Oslo [UiO] |
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | CAISE 2023-35th International Conference on Advanced Information Systems Engineering CAISE 2023-35th International Conference on Advanced Information Systems Engineering, Jun 2023, Zaragoza, Spain |
| Popis: | International audience; Dealing with a large configuration space is a complex task for developers, especially when configurations must comply with both functional constraints and non-functional goals. In this paper, we introduce an approach to optimize any set of performance indicators for an existing configuration, while meeting functional requirements. The efficiency of this approach is assessed by exhaustively optimizing a configurable system, and by analyzing how the algorithm navigates through the configuration space. This approach proves especially efficient at optimizing configurations through a minimal number of changes, thus limiting the impact on their functional behavior. |
| Databáze: | OpenAIRE |
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