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Book Sections Year : 2018

Feedback Control as MAPE-K loop in Autonomic Computing

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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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Dates and versions

hal-01285014 , version 1 (10-10-2018)

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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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