Architectural Homeostasis in Self-Adaptive Software-Intensive Cyber-Physical Systems
Paper i proceeding, 2016

Self-adaptive software-intensive cyber-physical systems (sasiCPS) en-counter 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 describe three mechanisms that reify the idea: (i) collaborative sensing, (ii) faulty component isolation from adaptation, and (iii) enhancing mode switching. More-over, our experimental evaluation of the three mechanisms confirms that allowing a complex system to change its self-adaptation strategies helps the system recover from runtime errors and abnormalities and keep it in an operational state.

software architecture

cyber-physical systems

run-time uncertainty

self-adaptation strategies


Ilias Gerostathopoulos

Technische Universität München

Univerzita Karlova

Dominik Skoda

Univerzita Karlova

Frantisek Plasil

Univerzita Karlova

Tomas Bures

Univerzita Karlova

Alessia Knauss

Chalmers, Data- och informationsteknik, Software Engineering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

03029743 (ISSN) 16113349 (eISSN)

Vol. 9839 LNCS 113-128
978-3-319-48991-9 (ISBN)







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