Computer Performance Engineering and Stochastic Modelling edited by Mauro Iacono, Marco Scarpa, Enrico Barbierato, Salvatore Serrano, Davide Cerotti, Francesco Longo. [electronic resource] :
Material type:
TextPublication details: Cham Springer Nature Switzerland 2023Edition: 1st ed. 2023Description: XIII, 400 p. 126 illus., 96 illus. in color. online resourceISBN: - 9783031431852
- Application software
- Computer and Information Systems Applications
- Computer Communication Networks
- Computer networksÂ
- Computer science
- Computer System Implementation
- Computer systems
- Computers, Special purpose
- Data and Information Security
- Data protection
- Mathematical statistics
- Probability and Statistics in Computer Science
- Special Purpose and Application-Based Systems
- 5.8
| Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
e-Book
|
S. R. Ranganathan Learning Hub Online | Available | Platform:Springer | EB2748 |
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.
There are no comments on this title.