Escope: An Energy Efficiency Simulator for Internet Data Centers

Jun Liu, Longchuan Yan, Chengxu Yan, Yeliang Qiu, Congfeng Jiang (), Yang Li, Yan Li and Christophe Cérin
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Jun Liu: State Grid Co., Ltd., Information Communication Branch, Beijing 100761, China
Longchuan Yan: State Grid Co., Ltd., Information Communication Branch, Beijing 100761, China
Chengxu Yan: School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China
Yeliang Qiu: School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China
Congfeng Jiang: School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou 310018, China
Yang Li: State Grid Co., Ltd., Information Communication Branch, Beijing 100761, China
Yan Li: State Grid Co., Ltd., Information Communication Branch, Beijing 100761, China
Christophe Cérin: IUT de Villetaneuse, Département d’Informatique, University of Paris 13, Sorbonne Paris Cité, LIPN/CNRS UMR 7030, F-93430 Villetaneuse, France

Energies, 2023, vol. 16, issue 7, 1-21

Abstract: Contemporary megawatt-scale data centers have emerged to meet the increasing demand for online cloud services and big data analytics. However, in such large-scale data centers, servers of different generations are installed gradually year by year, making the data center heterogeneous in computing capability and energy efficiency. Furthermore, due to different processor architectures, complex and diverse load dynamic changing, business coupling, and other reasons, operators pay great attention to processor hardware power consumption and server aggregation energy efficiency. Therefore, the simulation and analysis of the energy efficiency characteristics of data center servers under different processor architectures can help operators understand the energy efficiency characteristics of data centers and make the optimal task scheduling strategy. This is very beneficial for improving the energy efficiency of the production system and the entire data center. The Escope simulator designed in this study can simulate the online quantity (placement strategy) of different types of servers in the data center and the optimal operating range of the servers. The purpose of this is to analyze the energy efficiency characteristics of all servers in the data center and provide data center operators with the energy efficiency and energy proportionality characteristics of different servers, improve server utilization, and perform reasonable scheduling. Through the simulation experiment of Escope, it can be proved that running the server at the highest energy efficiency point or running the server under full load cannot improve the energy efficiency of the entire data center. The simulation algorithm provided by Escope can select the optimal set of servers and their corresponding utilization. Escope can set up a variety of simulation strategies, and data center operators can simulate data center energy efficiency according to their own needs. Escope can also calculate the power cost savings of introducing new servers in the data center, which provides an essential reference for operators to purchase servers and design data centers.

Keywords: data center; power consumption; energy proportionality; energy efficiency (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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