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Designing Compound MAPE Patterns for Self-adaptive Systems

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Intelligent Systems Design and Applications (ISDA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 736))

Abstract

Self-adaptive systems are able to change their own behavior whenever the software or hardware is not accomplishing what it was intended to do. In this context, the MAPE (Monitoring, Analysis, Planning, Execution) control loop model has been identified as crucial element for realizing self-adaptation in software systems. Complex self-adaptive systems often exhibit several architectural patterns in their design which leads to the need of architectural pattern composition. In this paper, we focus on modeling and composing MAPE patterns for decentralized control in self-adaptive systems. We illustrate our approach using a case study example of the fall-detection ambient assisting living system for elderly people.

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References

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Authors and Affiliations

  1. ReDCAD, University of Sfax, B.P. 1173, 3038, Sfax, Tunisia

    Marwa Hachicha, Riadh Ben Halima & Ahmed Hadj Kacem

Authors
  1. Marwa Hachicha
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  2. Riadh Ben Halima
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  3. Ahmed Hadj Kacem
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Corresponding author

Correspondence to Marwa Hachicha .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs , Auburn, Washington, USA

    Ajith Abraham

  2. Department of Computer Science, South Asian University, Chanakyapuri, Delhi, India

    Pranab Kr. Muhuri

  3. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka , Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  4. Machine Intelligence Research Labs , Auburn, Washington, USA

    Niketa Gandhi

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Hachicha, M., Ben Halima, R., Hadj Kacem, A. (2018). Designing Compound MAPE Patterns for Self-adaptive Systems. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_10

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  • DOI: https://doi.org/10.1007/978-3-319-76348-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76347-7

  • Online ISBN: 978-3-319-76348-4

  • eBook Packages: EngineeringEngineering (R0)

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