We show that power consumption of CPU and storage loads can be reliably predicted with a prediction error of less than 15 % across all tested virtualized ...

Sep 16, 2016 · We show that power consumption of CPU and storage loads can be reliably predicted with a prediction error of less than 15 % across all tested ...

In this paper, a non-linear support vector regression based power model using performance monitor counters is proposed to predict individual virtual machine ...

Developing power and performance models using effective performance counters at host and guest level can provide significant features for training data. In this ...

Jan 13, 2023 · This paper addresses the issue related to predicting the power consumption of different radio schedulers, and the potential offered by O-RAN to ...

Modeling power consumption in virtualized environments is an active research topic. Many research works ad- dressed the issue of per-VM power modeling.

In this paper we present a system for online power prediction in vir-tualized environments. It is based on Gaussian mixture models that use architectural ...

The thesis creates a proof of concept of predicting energy consump- tion from CPU usage from a containerized application. With an empir-.

The main objective of this work is based on developing an analytical model to predict the energy consumption and energy delay product (EDP) for SPMD ...

Apr 27, 2024 · In this paper, power and performance predictions are estimated from utilization figures of the main computer subsystems (CPU cores, drives, ...