Titlebook: Euro-Par 2021: Parallel Processing; 27th International C Leonel Sousa,Nuno Roma,Pedro Tomás Conference proceedings 2021 Springer Nature Swi

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https://doi.org/10.1007/978-3-030-85665-6artificial intelligence; computer hardware; computer networks; computer programming; computer systems; di

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Transformation, Arbeitsmarkt und Lebenslauferation on a wide range of existing platforms. A methodological challenge that remains is to generate and execute realistic datacenter workloads on any infrastructure, using information from available traces. In this paper, we propose ., a methodology addressing this challenge, and introduce the too

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,Aetiologie der parenchymat?sen Entzündung,ystem efficiency, application performance, and cost. System administrators need to identify the anomalies that are responsible for performance variation and take mitigating actions. One can perform manual root-cause analysis on telemetry data collected by HPC monitoring infrastructures to analyze pe

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https://doi.org/10.1007/978-3-531-90791-8und of the makespan, release dates and deadlines of the tasks can be computed. Time windows are defined accordingly. We prove that our scheduling problem is fixed-parameter tractable; the parameter is the maximum number of tasks that are schedulable at the same time considering time windows..A fixed