Titlebook: ComputerPerformance Engineering; 18th European Worksh Katja Gilly,Nigel Thomas Conference proceedings 2023 The Editor(s) (if applicable) an

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https://doi.org/10.1007/978-3-642-99389-3is approach with the help of an experimental study on an adaptive hardware platform, where the global objective addresses the trade-off between energy consumption and performance. The focus of this study is on the robustness of PMC-based strategies and their ability to dynamically manage situations,

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https://doi.org/10.1007/978-3-531-90887-8aper uses MATLAB code and Python libraries to process the representative data and apply the velocity model. Moreover, we have integrated it into an electric vehicle model, including the battery, to estimate the power demand for each trip and the remaining driving range. We observed that producing re

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Measuring Streaming System Robustness Using Non-parametric Goodness-of-Fit Tests failure. Streaming systems must be robust in the face of such uncertainty in order to be deemed fit for purpose. Measuring and quantifying a system’s level of robustness is a non-trivial task. We present, compare and contrast a range of non-parametric goodness-of-fit tests which can act as quantifi

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Effectiveness of Pre-computed Knowledge in Self-adaptation - A Robustness Studyde adaptation decisions at runtime. There are several approaches to enrich this knowledge base to improve the planning of adaptations. We consider a method where probabilistic model checking (PMC) is used at design time to compute results for various short-term objectives, such as the expected energ

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Energy Consumption Estimation for Electric Vehicles Using Routing API Data in range estimation for electric vehicles. However, the studies that focus on determining the remaining range based on real-time publicly available data remain low. Most of the current methods employed consider limited data collection and do not consider the most substantial factors that directly i

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