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Self-Adaptation for Cyber-Physical Systems: A Systematic Literature Review
Univ Aquila, Italy.
Univ Aquila, Italy.
Linnaeus University, Faculty of Technology, Department of Computer Science. Katholieke Univ Leuven, Netherlands.ORCID iD: 0000-0002-1162-0817
2016 (English)In: PROCEEDINGS OF 2016 IEEE/ACM 11TH INTERNATIONAL SYMPOSIUM ON SOFTWARE ENGINEERING FOR ADAPTIVE AND SELF-MANAGING SYSTEMS (SEAMS), IEEE, 2016, 75-81 p.Conference paper, Published paper (Refereed)
Abstract [en]

Context: Cyber-physical systems (CPS) seamlessly integrate computational and physical components. Adaptability, realized through feedback loops, is a key requirement to deal with uncertain operating conditions in CPS. Objective: We aim at assessing state-of-art approaches to handle self-adaptation in CPS at the architectural level. Method: We conducted a systematic literature review by searching four major scientific data bases, resulting in 1103 candidate studies and eventually retaining 42 primary studies included for data collection after applying inclusion and exclusion criteria. Results: The primary concerns of adaptation in CPS are performance, flexibility, and reliability. 64% of the studies apply adaptation at the application layer and 24% at the middleware layer. MAPE (Monitor-Analyze-Plan-Execute) is the dominant adaptation mechanism (60%), followed by agents and self-organization (both 29%). Remarkably, 36% of the studies combine different mechanisms to realize adaptation; 17% combine MAPE with agents. The dominating application domain is energy (24%). Conclusions: Our findings show that adaptation in CPS is a cross-layer concern, where solutions combine different adaptation mechanisms within and across layers. This raises challenges for future research both in the field of CPS and self-adaptation, including: how to map concerns to layers and adaptation mechanisms, how to coordinate adaptation mechanisms within and across layers, and how to ensure system-wide consistency of adaptation.

Place, publisher, year, edition, pages
IEEE, 2016. 75-81 p.
Keyword [en]
Cyber Physical Systems, Self-Adaptiveness, Systematic Study
National Category
Computer Science
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-67014DOI: 10.1145/2897053.2897069ISI: 000401792400009ISBN: 978-1-4503-4187-5 OAI: oai:DiVA.org:lnu-67014DiVA: diva2:1127670
Conference
11th IEEE/ACM International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), MAY 16-17, 2016, Austin, TX
Available from: 2017-07-18 Created: 2017-07-18 Last updated: 2017-07-18Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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More styles
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