Workload, performance and affective responses were measured.
Three performance metrics namely total migration time, service downtime, workload performance overheads, are considered to measure the efficiency.
Proposals typically select a frequency/voltage level that reduces the node capability and minimises impact to workloads, applying a trade-off between workload performance and power consumption.
In [27], it was reported that work-related metrics (e.g. time per transaction) are the most accurate and reliable way to estimate the multiprocessor workload performance.
VM level adaptation are typically applied to improve/reduce workload performance due to an increased/reduced demand by adjusting CPU, memory, disk bandwidth and/or storage.
In contrast, the authors in [35] used a second order ARMA model, taking into account two previous control intervals to predict workload performance, by using response time as the performance metric.
Though hard drives wont be replaced by NVMe devices (SSDs) in the near future, more prominently due to SSD's high TCO (cost/GB, write amplification, lifespan) [24], lack of consistent software stack (fabrics, interface and media characteristics) as well as non-uniform workload performance characteristics [1, 3, 9] (refer to "Secondary storage (block device) characteristics" section).
By leveraging both structured data and clinical notes, the ES algorithm (DX/ICD-9 + NOTE) achieved the best workload performance (24 patients per trial), amounting to an 85% workload reduction over the baseline (p-value = 8.30E-21 in paired-T test).
Physical signs include muscle pain, non-specific irritation of the mucous membranes, increased heart rate at rest and during a given workload, performance, and maximum oxygen uptake and maximum lactate levels are decreased.
For write-intensive scientific and industrial workloads, the performance of HDDs and SSDs have been shown to be nearly same [9].
