Compares energy efficiency and performance in server configurations, suggesting optimized setups for physical data processing.
The paper proposes an integrated approach to configuring low-level server software for resource-intensive tasks of processing physical experiment data, in order to achieve a balance between maximum performance and minimum energy consumption. To implement the approach, a monitoring system that collects energy consumption and temperature metrics of key server components in real time has been implemented. A specialized analysis tool that allows you to correlate monitoring data with the results of load testing has been created. Calculated performance and energy efficiency coefficients for various settings are presented.
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Голунов et al. (2026) studied this question.
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