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- W3195851749 abstract "This paper highlights humans’ social and mobility behaviors’ role in the continuous engineering of sustainable socio-technical Internet of Things (IoT) systems. Our approach relates the humans’ characteristics and intentions with the system’s goals, and models such interaction. Such a modeling approach aligns the architectural design and associated quality of service (QoS) with humans’ quality of experience (QoE). We design a simulation environment that combines agent-based social simulation (ABSS) with architectural models generated through a model-driven engineering approach. Our modeling approach facilitates choosing the best architectural model and system configuration to enhance both the humans’ and system’s sustainability. We apply our approach to the Uffizi Galleries crowd management system. Taking advantage of real data, we model scenarios related to humans’ speed, vision variations, grouping, and social attachment, which impact QoE. We then assess various architectural models with different SW/HW configurations to propose the optimal model based on different scenarios concerning QoS-QoE requirements." @default.
- W3195851749 created "2021-08-30" @default.
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- W3195851749 date "2021-01-01" @default.
- W3195851749 modified "2023-10-02" @default.
- W3195851749 title "Human Behavior-Oriented Architectural Design" @default.
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- W3195851749 doi "https://doi.org/10.1007/978-3-030-86044-8_9" @default.
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