Tuning self-adaptation in cyber-physical systems through architectural homeostasis

Ilias Gerostathopoulos*, Dominik Skoda, Frantisek Plasil, Tomas Bures, Alessia Knauss

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Self-adaptive software-intensive cyber-physical systems (sasiCPS) encounter a high level of run-time uncertainty. State-of-the-art architecture-based self-adaptation approaches assume designing against a fixed set of situations that warrant self-adaptation. As a result, failures may appear when sasiCPS operate in environment conditions they are not specifically designed for. In response, we propose to increase the homeostasis of sasiCPS, i.e., the capacity to maintain an operational state despite run-time uncertainty, by introducing run-time changes to the architecture-based self-adaptation strategies according to environment stimuli. In addition to articulating the main idea of architectural homeostasis, we introduce four mechanisms that reify the idea: (i) collaborative sensing, (ii) faulty component isolation from adaptation, (iii) enhancing mode switching, and (iv) adjusting guards in mode switching. Moreover, our experimental evaluation of the four mechanisms in two different case studies confirms that allowing a complex system to change its self-adaptation strategies helps the system recover from run-time errors and abnormalities and keep it in an operational state.

Original languageEnglish
Pages (from-to)37-55
Number of pages19
JournalJournal of Systems and Software
Volume148
DOIs
Publication statusPublished - 1 Feb 2019
Externally publishedYes

Keywords

  • Architecture homeostasis
  • Cyber-physical systems
  • Run-time uncertainty
  • Self-adaptation strategies
  • Software architecture

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