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Static approach has a priori knowledge of different power manageable component states and stationary workload.
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The accuracy of Markov models for non-stationary workload increases by incorporating a number of power states in the Markov chain.
Adaptive Markov Control Process for non-stationary workloads are online adaptation DPM schemes for non-stationary workloads or real-life systems [20].
Also, managing applications with non-stationary workloads with dynamic SLAs represents a fundamental autonomic control challenge.
Moreover, it considers non-stationary workloads and differentiates between the service request generation rates of various software application.
To take into account dynamic and non-stationary workloads, the authors apply a multi-size sliding window approach.
The approach is shown to reduce SLA violations due to under-provisioning in applications subject to to non-stationary workloads.
Their stationary expected workload is obtained as a limit of the stationary expected workload of a discrete system.
Markov model based policies are not proven globally optimum for stationary Markovian workload.
Cardiovascular training involved interval training on stationary bicycles with a workload of 70-250 W, equivalent to 85-9585-95%ach participant's maximum heart rate.
Cardiorespiratory training, with the exclusion of a short warm-up, will involve interval training on stationary bicycles with a workload of 70 250 W, equivalent to 85 95% of each patient's HRmax and with a progressive duration of 60 90 min/week for 6 weeks.
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