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Cross-Layer Adaptation in Multi-layer Autonomic Systems (Invited Talk)

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SOFSEM 2019: Theory and Practice of Computer Science (SOFSEM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11376))

Abstract

This work presents a new reference architecture for multi-layer autonomic systems called context-controlled autonomic controllers (ConAC). Usually, the principle of multiple system layers contradicts the principle of a global adaptation strategy, because system layers are considered to be black boxes. The presented architecture relies on an explicit context model, so a simple change of contexts can consistently vary the adaptation strategies for all layers. This reveals that explicit context modeling enables consistent meta-adaptation in multi-layer autonomic systems. The paper presents two application areas for the ConAC architecture, robotic co-working and energy-adaptive servers, but many other multi-layered system designs should benefit from it.

This project has received funding from the ECSEL Joint Undertaking under grant agreement No. 692480 (IoSense). This Joint Undertaking receives support from the EU Horizon 2020 research and innovation programme and Germany, Spain, Austria, Belgium, Slovakia. Also supported by the German Research Foundation (DFG) in the CRC 912 “Highly Adaptive Energy-Efficient Computing”, the project RISCOS, the Research Training Group “Role-based Software Infrastructures for continuous-context-sensitive Systems (RoSI)”, as well as the BMBF project OpenLicht.

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Notes

  1. 1.

    In the literature, autonomic controllers or autonomic managers run a Mape-k-loop with Measure-Analyze-Plan-Execute functions communicating via a KnowledgeBase to self-adapt a software system.

  2. 2.

    Usually, hierarchic autonomic systems can be considered as a subclass of multi-layered systems, because the latter may share components on lower levels, i.e., their use relationship is a directed acyclic graph instead of a tree.

  3. 3.

    ConAC is intended to be spelled .

  4. 4.

    A video is found on https://www.youtube.com/watch?v=zk3ruVSTwCo.

  5. 5.

    We call the “layers” of a COP program its application slices, because, in this paper, layers are meant to be system layers.

  6. 6.

    Again, mixin layers are application slices, while, in this paper, layers are system layers.

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Authors and Affiliations

  1. Institut für Software- und Multimediatechnik, Technische Universität Dresden, Dresden, Germany

    Uwe Aßmann, Dominik Grzelak, Johannes Mey, Dmytro Pukhkaiev, René Schöne & Christopher Werner

  2. Wandelbots, Dresden, Germany

    Georg Püschel

Authors
  1. Uwe Aßmann
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  2. Dominik Grzelak
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  3. Johannes Mey
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  4. Dmytro Pukhkaiev
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  5. René Schöne
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  6. Christopher Werner
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  7. Georg Püschel
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Correspondence to Uwe Aßmann .

Editor information

Editors and Affiliations

  1. University of Genoa, Genoa, Italy

    Barbara Catania

  2. Comenius University, Bratislava, Slovakia

    Rastislav Královič

  3. Poznań University of Technology, Poznań, Poland

    Jerzy Nawrocki

  4. Università degli Studi di Milano, Milan, Italy

    Giovanni Pighizzini

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Aßmann, U. et al. (2019). Cross-Layer Adaptation in Multi-layer Autonomic Systems (Invited Talk). In: Catania, B., Královič, R., Nawrocki, J., Pighizzini, G. (eds) SOFSEM 2019: Theory and Practice of Computer Science. SOFSEM 2019. Lecture Notes in Computer Science(), vol 11376. Springer, Cham. https://doi.org/10.1007/978-3-030-10801-4_1

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  • DOI: https://doi.org/10.1007/978-3-030-10801-4_1

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