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Computer Performance Engineering [electronic resource] : 18th European Workshop, EPEW 2022, Santa Pola, Spain, September 21–23, 2022, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 13659Publisher: Cham : Springer International Publishing : Imprint: Springer, 2023Edition: 1st ed. 2023Description: IX, 231 p. 215 illus., 52 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031250491
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 005.8 23
LOC classification:
  • QA76.9.A25
Online resources:
Contents:
Robustness analysis -- Applications -- Stochastic modelling -- Machine learning -- Edge-cloud computing -- Modelling paradigms and tools.
In: Springer Nature eBookSummary: This book constitutes the refereed proceedings of the 18th European Workshop on Computer Performance Engineering, EPEW 2022, held in Santa Pola, Spain, in September 2022. The 14 papers presented in this volume together with one invited talk were carefully reviewed and selected from 14 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.
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Robustness analysis -- Applications -- Stochastic modelling -- Machine learning -- Edge-cloud computing -- Modelling paradigms and tools.

This book constitutes the refereed proceedings of the 18th European Workshop on Computer Performance Engineering, EPEW 2022, held in Santa Pola, Spain, in September 2022. The 14 papers presented in this volume together with one invited talk were carefully reviewed and selected from 14 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.

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