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Computer Performance Engineering and Stochastic Modelling 19th European Workshop, EPEW 2023, and 27th International Conference, ASMTA 2023, Florence, Italy, June 20–23, 2023, Proceedings /

This book constitutes the refereed proceedings of the 19th European Workshop on Computer Performance Engineering, EPEW 2023, and 27th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2023, held in Florence, Italy, in June 2023. The 26 papers presente...

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Körperschaft: SpringerLink (Online service)
Weitere Verfasser: Iacono, Mauro (HerausgeberIn), Scarpa, Marco (HerausgeberIn), Barbierato, Enrico (HerausgeberIn), Serrano, Salvatore (HerausgeberIn), Cerotti, Davide (HerausgeberIn), Longo, Francesco (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Ausgabe:1st ed. 2023.
Schriftenreihe:Lecture Notes in Computer Science, 14231
Schlagworte:
Data protection.
Computer science > Mathematics.
Mathematical statistics.
Computer networks .
Computers, Special purpose.
Computer systems.
Application software.
Data and Information Security.
Probability and Statistics in Computer Science.
Computer Communication Networks.
Special Purpose and Application-Based Systems.
Computer System Implementation.
Computer and Information Systems Applications.
Online-Zugang:https://doi.org/10.1007/978-3-031-43185-2
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Beschreibung
Zusammenfassung:This book constitutes the refereed proceedings of the 19th European Workshop on Computer Performance Engineering, EPEW 2023, and 27th International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2023, held in Florence, Italy, in June 2023. The 26 papers presented in this volume were carefully reviewed and selected from 35 submissions. The papers presented at the workshop reflect the diversity of modern performance engineering. The sessions covered a wide range of topics including robustness analysis, machine learning, edge and cloud computing, as well as more traditional topics on stochastic modelling, techniques and tools.
Beschreibung:1 online resource (XIII, 400 p. 126 illus.). 96 illus. in color.
ISBN:9783031431852
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-43185-2

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