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German Conference on Multiagent System Technologies

MATES 2016: Multiagent System Technologies pp 155–173Cite as

Using Models at Runtime to Adapt Self-managed Agents for the IoT

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9872))

Abstract

One of the most important challenges of this decade is the Internet of Things (IoT) that pursues the integration of real-world objects in the virtual world of the Internet. One property that characterises IoT systems is that they have to react to variable and continuous changes. This means that IoT systems need to work as self-managed systems to effectively manage context changes. The autonomy property inherent to software agents makes them a suitable choice for developing self-managed IoT systems. By embedding agents in the devices that compose the IoT is possible to realize a decentralized system with self-management capacities. However, in this scenario new problems arise. Firstly, current agent development approaches lack mechanisms to deal with the heterogeneity present in the IoT domain. Secondly, agents must simultaneously deal with potentially conflicting changes in their behaviour, concerning self-management and application goals. In order to afford these challenges we propose to use an approach based on Dynamic Software Product Lines (D-SPL) and preference-based reasoning. The D-SPL provides to the preference-based reasoning of the agent with the necessary information to adapt its behaviour at runtime making a trade-off between the self-management of the system and the accomplishment of its application goals.

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Acknowledgements

This work is supported by the project Magic P12-TIC1814 and by the project HADAS TIN2015-64841-R (co-financed by FEDER funds).

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Authors and Affiliations

  1. Departamento de Lenguajes y Ciencias de la Computación, Universidad de Málaga, Andalucía Tech, Campus de Teatinos s/n, 29071, Málaga, Spain

    Inmaculada Ayala, Jose Miguel Horcas, Mercedes Amor & Lidia Fuentes

Authors
  1. Inmaculada Ayala
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  2. Jose Miguel Horcas
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  3. Mercedes Amor
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  4. Lidia Fuentes
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Corresponding authors

Correspondence to Jose Miguel Horcas or Mercedes Amor .

Editor information

Editors and Affiliations

  1. DFKI , Saarbrücken, Germany

    Matthias Klusch

  2. Institute for Computer Science &, University of Duisburg-Essen Institute for Computer Science &, Essen, Nordrhein-Westfalen, Germany

    Rainer Unland

  3. IBM Haifa Research Lab , Haifa, Israel

    Onn Shehory

  4. University of Hamburg VSIS, Hamburg, Hamburg, Germany

    Alexander Pokahr

  5. Distributed Artificial Intelligence, Technical University of Berlin Distributed Artificial Intelligence, Berlin, Berlin, Germany

    Sebastian Ahrndt

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© 2016 Springer International Publishing Switzerland

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Ayala, I., Horcas, J.M., Amor, M., Fuentes, L. (2016). Using Models at Runtime to Adapt Self-managed Agents for the IoT. In: Klusch, M., Unland, R., Shehory, O., Pokahr, A., Ahrndt, S. (eds) Multiagent System Technologies. MATES 2016. Lecture Notes in Computer Science(), vol 9872. Springer, Cham. https://doi.org/10.1007/978-3-319-45889-2_12

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  • DOI: https://doi.org/10.1007/978-3-319-45889-2_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45888-5

  • Online ISBN: 978-3-319-45889-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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