Computer performance engineering : 18th European Workshop, EPEW 2022, Santa Pola, Spain, September 21-23, 2022 : proceedings

Computer performance engineering 18th European Workshop, EPEW 2022, Santa Pola, Spain, September 21-23, 2022 : proceedings

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

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Bibliographische Detailangaben
Körperschaft: European Performance Engineering Workshop (VerfasserIn)
Weitere Verfasser: Gilly, Katja (HerausgeberIn), Thomas, Nigel (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham Springer 2023
Schriftenreihe:Lecture notes in computer science 13659
Schlagworte:
Angewandte Informatik > COMPUTERS / Data Processing / General > COMPUTERS / Expert Systems > COMPUTERS / Hardware / Network Hardware > COMPUTERS / Information Technology > COMPUTERS / Mathematical & Statistical Software > COMPUTERS / Security / General > Computer security > Computersicherheit > Expert systems / knowledge-based systems > Information technology: general issues > Mathematik für Informatiker > Maths for computer scientists > Network hardware > Netzwerk-Hardware > Netzwerksicherheit > Systemanalyse und -design > Systems analysis & design > Wahrscheinlichkeitsrechnung und Statistik > Wissensbasierte Systeme, Expertensysteme > Konferenzschrift > Maschinelles Lernen > Cloud Computing > Verteiltes System > Korrelationsanalyse
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Beschreibung
Zusammenfassung: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
Beschreibung:x, 230 Seiten
ISBN:9783031250484
978-3-031-25048-4