Dynamics of Research into Modeling the Power Consumption of Virtual Entities Used in the Telco Cloud

被引：5

作者：

Depasquale, Etienne-Victor ^{[1
]}

Davoli, Franco ^{[2
]}

Rajput, Humaira ^{[3
]}

机构：

[1] Univ Malta, Dept Commun & Comp Engn, MSD, Msida 2080, Malta

[2] Univ Genoa, Natl Lab Smart & Secure Networks, Dept Elect Elect & Telecommun Engn & Naval Archite, DITEN,S2N,CNIT,Italian Natl Consortium Telecommun, I-16145 Genoa, Italy

[3] Univ Genoa, Dept Elect Elect & Telecommun Engn & Naval Archite, DITEN, I-16145 Genoa, Italy

来源：

SENSORS | 2023年 / 23卷 / 01期

基金：

欧盟地平线“2020”;

关键词：

virtualization; power consumption; power models; power meters; energy-aware algorithms; ENERGY-EFFICIENCY; MACHINES; OPTIMIZATION; PREDICTION; NETWORKING; OPERATION;

D O I：

10.3390/s23010255

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

This article is a graphical, analytical survey of the literature, over the period 2010-2020, on the measurement of power consumption and relevant power models of virtual entities as they apply to the telco cloud. We present a novel review method, that summarizes the dynamics as well as the results of the research. Our method lends insight into trends, research gaps, fallacies and pitfalls. Notably, we identify limitations of the widely used linear models and the progression towards Artificial Intelligence/Machine Learning techniques as a means of dealing with the seven major dimensions of variability: workload type; computer virtualization agents; system architecture and resources; concurrent, co-hosted virtualized entities; approaches towards the attribution of power consumption to virtual entities; frequency; and temperature.

引用

页数：69

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