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A configurable composition language for the social IoT

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Abstract

The Social Internet of Things (SIoT) involves multiple IoT devices interacting and collaborating to achieve common goals, but the complexity of the composite Thing Services involved can lead to an overburdened composing process and a plethora of different variations on the same composition plan. Modeling the variability of the composition process is crucial to creating a flexible and adaptable composition plan model that can be reused to create specific composite Thing Services. Existing studies do not provide a generic modeling approach that can address this variability, making a variability-aware IoT service composition framework necessary. Such a framework can provide a more efficient and effective SIoT system by creating composite Thing Services that can handle complex tasks. Therefore, it is crucial to address the problem of modeling the variability of the composition of social internet of thing services. The development of a variability-aware IoT service composition framework is an important step toward achieving this goal.

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Code Availability

https://github.com/SouraBoulaares/ATLASplus.git.

Notes

  1. https://github.com/SouraBoulaares/ATLASplus.git.

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Funding

The authors did not receive support from any organization for the submitted work.

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Authors and Affiliations

  1. National School for Computer Science, Manouba, Tunisia

    Soura Boulaares

  2. Faculty of law, Economic, and Management Sciences, Jendouba, Tunisia

    Salma Sassi

  3. Claude Bernard Lyon 1 University, Lyon, France

    Djamal Benslimane

  4. Zayed University, Dubai, UAE

    Zakaria Maamar

  5. Higher Institute of Multimedia Arts, Manouba, Tunisia

    Sami Faiz

Authors
  1. Soura Boulaares
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  2. Salma Sassi
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  3. Djamal Benslimane
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  4. Zakaria Maamar
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  5. Sami Faiz
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Correspondence to Soura Boulaares.

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Boulaares, S., Sassi, S., Benslimane, D. et al. A configurable composition language for the social IoT. SOCA 17, 161–182 (2023). https://doi.org/10.1007/s11761-023-00369-5

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  • DOI: https://doi.org/10.1007/s11761-023-00369-5

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