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Computer Performance Engineering : 14th European Workshop, EPEW 2017, Berlin, Germany, September 7-8, 2017, Proceedings / / edited by Philipp Reinecke, Antinisca Di Marco



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Titolo: Computer Performance Engineering : 14th European Workshop, EPEW 2017, Berlin, Germany, September 7-8, 2017, Proceedings / / edited by Philipp Reinecke, Antinisca Di Marco Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Edizione: 1st ed. 2017.
Descrizione fisica: 1 online resource (XVI, 299 p. 103 illus.)
Disciplina: 004
Soggetto topico: Electronic digital computers - Evaluation
Computer science - Mathematics
Mathematical statistics
Computer science
Software engineering
Computer simulation
Artificial intelligence
System Performance and Evaluation
Probability and Statistics in Computer Science
Computer Science Logic and Foundations of Programming
Software Engineering
Computer Modelling
Artificial Intelligence
Persona (resp. second.): ReineckePhilipp
Di MarcoAntinisca
Nota di contenuto: Advances in Markov models -- Advances in quantitative analysis -- Model checking -- Cyber-physical systems.-Performance, energy and security.
Sommario/riassunto: This book constitutes the refereed proceedings of the 14th European Workshop on Computer Performance Engineering, EPEW 2017, held in Berlin, Germany, in September 2017. The 18 papers presented together with the abstracts of two invited talks in this volume  were carefully reviewed and selected from 30 submissions.  The papers presented at the workshop reflect the diversity of modern performance engineering, with topics ranging from advances in Markov models; advances in quantitative analysis;  model checking; and cyber-physical systems to performance, energy and security.
Titolo autorizzato: Computer Performance Engineering  Visualizza cluster
ISBN: 3-319-66583-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910484401603321
Lo trovi qui: Univ. Federico II
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Serie: Programming and Software Engineering, . 2945-9168 ; ; 10497