Title :
Forecasting data centers power consumption with the Holt-Winters method
Author :
Rossi, Maurizio ; Brunelli, Davide
Author_Institution :
Dept. of Ind. Eng., Univ. of Trento, Trento, Italy
Abstract :
Data centers are rapidly increasing in the last few years and this trend will continue in the future due to the market demand for virtual infrastructures, cloud services and IoT applications. The whole ICT sector is faced with an energy efficiency challenge and data centers represent a significant share of all ICT-related emissions. Improving energy efficiency has therefore become a critical objective for ICT infrastructures and equipment suppliers. To mitigate the electrical energy demand used both for computing and for cooling, many scheduling and planning methods have been proposed. All of them can benefit from accurate predictions of the workload. In this paper we demonstrate how forecasting tools can remarkably increase the energy efficiency of a data center.
Keywords :
computer centres; energy conservation; load forecasting; power consumption; power markets; power system planning; Holt-Winter method; IoT application; cloud service; data center power consumption forecasting; electrical energy demand mitigation; energy efficiency; power market; virtual infrastructure; Energy consumption; Forecasting; Green products; Power demand; Prediction algorithms; Renewable energy sources; Servers;
Conference_Titel :
Environmental, Energy and Structural Monitoring Systems (EESMS), 2015 IEEE Workshop on
Conference_Location :
Trento
Print_ISBN :
978-1-4799-8214-1
DOI :
10.1109/EESMS.2015.7175879