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В кластер входят документы, объясняющие технический смысл и способ интерпретации показателя Load Average в операционных системах Linux.
Общие признаки: метрика load average, диагностика производительности системы, нагрузка на CPU и I/O, анализ состояния системы Linux
Группа выше: Метрики производительности и их интерпретация
Смысл: The main idea is to demystify the 'load average' metric by explaining it as a measure of system demand relative to available CPU cores, providing a framework for when an administrator should be concerned about system performance.
Load average measures the number of processes using or waiting for the CPU, where 1.00 represents 100% utilization of a single core.
Смысл: The main idea is to explain that Linux Load Average represents overall system demand (CPU, disk I/O, and uninterruptible locks) rather than just CPU utilization, a design choice made in 1993 to more accurately reflect perceived system responsiveness.
Linux Load Average measures the number of threads that are either running or waiting for resources (including disk I/O), distinguishing it from the CPU-only load metrics found in other operating systems.
Смысл: The main idea is that Load Average is not an arithmetic average of CPU usage, but an exponentially weighted moving average of the number of active tasks (running or uninterruptible), designed to smooth out short-term fluctuations.
Load Average is calculated in the Linux kernel as a discrete function of exponential decay based on the number of active tasks sampled every five seconds.
Смысл: The main idea is to educate users on how to interpret 'load average' and CPU statistics in Linux to diagnose whether system slowness is caused by the processor, hardware failure, or software inefficiency.
A technical guide explaining how to interpret Linux load average and CPU wait metrics to identify system performance bottlenecks.