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Feedback Control as MAPE-K loop in Autonomic Computing

Eric Rutten 1 Nicolas Marchand 2 Daniel Simon 3
1 CTRL-A - Control for Autonomic computing systems
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
3 CAMIN - Control of Artificial Movement and Intuitive Neuroprosthesis
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Computing systems are becoming more and more dynamically recon-figurable or adaptive, to be flexible w.r.t. their environment and to automate their administration. Autonomic computing proposes a general structure of feedback loop to take this into account. In this paper, we are particularly interested in approaches where this feedback loop is considered as a case of control loop where techniques stemming from Control Theory can be used to design efficient safe, and predictable controllers. This approach is emerging, with separate and dispersed effort, in different areas of the field of reconfigurable or adaptive computing , at software or architecture level. This paper surveys these approaches from the point of view of control theory techniques, continuous and discrete (super-visory), in their application to the feedback control of computing systems, and proposes detailed interpretations of feedback control loops as MAPE-K loop, illustrated with case studies.
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Submitted on : Wednesday, October 10, 2018 - 5:01:23 PM
Last modification on : Thursday, January 20, 2022 - 5:26:18 PM
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Eric Rutten, Nicolas Marchand, Daniel Simon. Feedback Control as MAPE-K loop in Autonomic Computing. Software Engineering for Self-Adaptive Systems III. Assurances., 9640, Springer, pp.349-373, 2018, Lecture Notes in Computer Science, ⟨10.1007/978-3-319-74183-3_12⟩. ⟨hal-01285014⟩



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