Model-Based Performance Prediction for Concurrent Software on Multicore Architectures A Simulation-Based Approach
Model-based performance prediction is a well-known concept to ensure the quality of software.Current approaches are based on a single-metric model, which leads to inaccurate predictions for modern architectures. This thesis presents a multi-strategies approach to extend performance prediction models...
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| Автор: | |
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| Формат: | Електронний ресурс Частина з книги |
| Мова: | Англійська |
| Опубліковано: |
KIT Scientific Publishing
2022
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| Серія: | The Karlsruhe Series on Software Design and Quality
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| Предмети: | |
| Онлайн доступ: | DOAB: download the publication DOAB: description of the publication |
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| Резюме: | Model-based performance prediction is a well-known concept to ensure the quality of software.Current approaches are based on a single-metric model, which leads to inaccurate predictions for modern architectures. This thesis presents a multi-strategies approach to extend performance prediction models to support multicore architectures.We implemented the strategies into Palladio and significantly increased the performance prediction power. |
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| Фізичний опис: | 1 electronic resource (400 p.) |
| ISBN: | KSP/1000139935 |
| Доступ: | Open Access |