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Computer Performance Engineering and Stochastic Modelling edited by Mauro Iacono, Marco Scarpa, Enrico Barbierato, Salvatore Serrano, Davide Cerotti, Francesco Longo. [electronic resource] :

Contributor(s): Material type: TextTextPublication details: Cham Springer Nature Switzerland 2023Edition: 1st ed. 2023Description: XIII, 400 p. 126 illus., 96 illus. in color. online resourceISBN:
  • 9783031431852
Subject(s): DDC classification:
  • 5.8
Online resources: Summary: 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.
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Holdings
Item type Home library Call number Status Notes Date due Barcode Item holds
e-Book e-Book S. R. Ranganathan Learning Hub Online Available Platform:Springer EB2748
Total holds: 0

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.

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