TY - GEN N2 - 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. DO - 10.1007/978-3-031-25049-1 DO - doi AB - 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. T1 - Computer performance engineering:18th European workshop, EPEW 2022, Santa Pola, Spain, September 21-23, 2022, proceedings / DA - [2023] CY - Cham, Switzerland : AU - Gilly, Katja, AU - Thomas, Nigel, VL - 13659 CN - QA76.9.E94 PB - Springer, PP - Cham, Switzerland : PY - [2023] ID - 1454232 KW - Computer science KW - Software engineering KW - Mathematical statistics KW - Machine learning KW - Cloud computing SN - 3031250494 SN - 9783031250491 TI - Computer performance engineering:18th European workshop, EPEW 2022, Santa Pola, Spain, September 21-23, 2022, proceedings / LK - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-25049-1 UR - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-25049-1 ER -