Computer Performance Engineering and Stochastic Modelling

19th European Workshop, EPEW 2023, and 27th International Conference, ASMTA 2023, Florence, Italy, June 20-23, 2023, Proceedings
1. Auflage 2023
ISBN: 978-3-031-43184-5
Verlag: Springer Nature Switzerland

Buch, Englisch, 400 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 628 g

Reihe: Lecture Notes in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Iacono, Mauro

Scarpa, Marco

Longo, Francesco

Barbierato, Enrico

Serrano, Salvatore

Cerotti, Davide

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Mathematik | Informatik Mathematik Stochastik
• Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur
• Mathematik | Informatik EDV | Informatik Angewandte Informatik

Inhaltsverzeichnis

ASMTA 2023.- EPEW 2023.