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Synthesis and Verification of Self-aware Computing Systems

Calinescu, Radu (author)
University of York, York, United Kingdom
Autili, Marco (author)
University of L'Aquila, L'Aquila, Italy
Camara, Javier (author)
Carnegie Mellon University, Pittsburgh, PA, United States
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Di Marco, Antinisca (author)
University of L'Aquila, L'Aquila, Italy
Gerasimou, Simos (author)
University of York, York, United Kingdom
Inverardi, Paola (author)
University of L'Aquila, L'Aquila, Italy
Perucci, Alexander (author)
University of L'Aquila, L'Aquila, Italy
Jansen, N. (author)
University of Texas at Austin, Austin, TX, United States
Katoen, J P (author)
RWTH Aachen University, Aachen, Germany
Kwiatkowska, Marta (author)
University of Oxford, Oxford, United Kingdom
Mengshoel, O J (author)
Carnegie Mellon University, Pittsburgh, PA, United States
Spalazzese, Romina (author)
Malmö högskola,Fakulteten för teknik och samhälle (TS)
Tivoli, Massimo (author)
University of L'Aquila, L'Aquila, Italy
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 (creator_code:org_t)
2017-01-24
2017
English.
In: Self-aware Computing Systems. - Cham : Springer. - 9783319474724 ; , s. 337-373
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  • Self-aware computing systems are envisaged to exploit the knowledge of their own software architecture, hardware infrastructure and environment in order to follow high-level goals through proactively adapting as their environment evolves. This chapter describes two classes of key enabling techniques for self-adaptive systems: automated synthesis and formal verification. The ability to dynamically synthesize component connectors and compositions underpins the proactive adaptation of the architecture of self-aware systems. Deciding when adaptation is needed and selecting valid new architectures or parameters for self-aware systems often requires formal verification. We present the state of the art in the use of the two techniques for the development of self-aware computing systems and summarize the main research challenges associated with their adoption in practice.

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