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- W4386004617 abstract "The preferred way to establish diverse smart computing environments is by encapsulating functionalities as services and providing them through well-defined interfaces. However, such service environments are prone to constant changes and require proper change detection, which is essential for service providers and client applications. Current methods for detecting changes in services focus on structural and semantic changes, but they do not consider the actual behavior of a service by examining input and output values. This can result in the selection of inappropriate services for an autonomous replacement, as the behavior of the selected service may differ significantly from the replaced service. In this paper, we propose an architecture that captures and evaluates the behavior dimension of services to provide more reliable service replacements in IoT environments. We achieved this by using machine learning algorithms and a multi-agent architecture called EVA." @default.
- W4386004617 created "2023-08-20" @default.
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- W4386004617 date "2023-01-01" @default.
- W4386004617 modified "2023-10-12" @default.
- W4386004617 title "Agent-Based Service Change Detection in IoT Environments" @default.
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- W4386004617 doi "https://doi.org/10.1007/978-981-99-4725-6_44" @default.
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