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Modelling and analysing resilient cyber-physical systems

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dc.contributor.author Bennaceur, Amel
dc.contributor.author Ghezzi, Carlo
dc.contributor.author Tei, Kenji
dc.contributor.author Kehrer, Timo
dc.contributor.author Weyns, Danny
dc.contributor.author Calinescu, Radu
dc.contributor.author Dustdar, Schahram
dc.contributor.author Hu, Zhenjiang
dc.contributor.author Honiden, Shinichi
dc.contributor.author Ishikawa, Fuyuki
dc.contributor.author Jin, Zhi
dc.contributor.author Kramer, Jeffrey
dc.contributor.author Litoiu, Marin
dc.contributor.author Loreti, Michele
dc.contributor.author Moreno, Gabriel A.
dc.contributor.author Müller, Hausi A.
dc.contributor.author Nenzi, Laura
dc.contributor.author Nuseibeh, Bashar
dc.contributor.author Pasquale, Liliana
dc.contributor.author Reisig, Wolfgang
dc.contributor.author Schmidt, Heinz
dc.contributor.author Tsigkanos, Christos
dc.contributor.author Zhao, Haiyan
dc.date.accessioned 2020-01-22T14:20:06Z
dc.date.available 2020-01-22T14:20:06Z
dc.date.issued 2019
dc.identifier.uri http://hdl.handle.net/10344/8412
dc.description peer-reviewed en_US
dc.description.abstract From smart buildings to medical devices to smart nations, software systems increasingly integrate computation, networking, and interaction with the physical environment. These systems are known as Cyber-Physical Systems (CPS). While these systems open new opportunities to deliver improved quality of life for people and reinvigorate computing, their engineering is a difficult problem given the level of heterogeneity and dynamism they exhibit. While progress has been made, we argue that complexity is now at a level such that existing approaches need a major re-think to define principles and associated techniques for CPS. In this paper, we identify research challenges when modelling, analysing and engineering CPS. We focus on three key topics: theoretical foundations of CPS, self-adaptation methods for CPS, and exemplars of CPS serving as a research vehicle shared by a larger community. For each topic, we present an overview and suggest future research directions, thereby focusing on selected challenges. This paper is one of the results of the Shonan Seminar 118 on Modelling and Analysing Resilient Cyber- Physical Systems, which took place in December 2018. en_US
dc.language.iso eng en_US
dc.publisher Association for Computing Machinery en_US
dc.relation 13RC2094 en_US
dc.relation.ispartofseries SEAMS '19: Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems;pp. 70-76
dc.relation.uri https://doi.org/10.1109/SEAMS.2019.00018
dc.rights © ACM, 2019. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in SEAMS '19: Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, pp. 70-76, https://doi.org/10.1109/SEAMS.2019.00018 en_US
dc.subject smart buildings en_US
dc.subject medical devices en_US
dc.subject computation en_US
dc.title Modelling and analysing resilient cyber-physical systems en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.1109/SEAMS.2019.00018
dc.contributor.sponsor SFI en_US
dc.relation.projectid 13/RC/2094 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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