Description

Book Synopsis
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.



Table of Contents
Robustness analysis.- Applications.- Stochastic modelling.- Machine learning.- Edge-cloud computing.- Modelling paradigms and tools.

Computer Performance Engineering: 18th European Workshop, EPEW 2022, Santa Pola, Spain, September 21–23, 2022, Proceedings

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A Paperback by Katja Gilly, Nigel Thomas

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    View other formats and editions of Computer Performance Engineering: 18th European Workshop, EPEW 2022, Santa Pola, Spain, September 21–23, 2022, Proceedings by Katja Gilly

    Publisher: Springer International Publishing AG
    Publication Date: 25/01/2023
    ISBN13: 9783031250484, 978-3031250484
    ISBN10: 3031250486
    Also in:
    Computer security Maths for computer scientists Network security

    Description

    Book Synopsis
    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.



    Table of Contents
    Robustness analysis.- Applications.- Stochastic modelling.- Machine learning.- Edge-cloud computing.- Modelling paradigms and tools.

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