Implementation of Power Saving Management System Based on Power Usage Pattern of Data Center Server (데이터센터 서버의 전력사용량 패턴 기반 전력절감 관리시스템의 구현)

Hwa Jeong Lee (이화정); Min-Yong Jung (정민영); Kim Chang Geun (김창근); HyunJu Kim (김현주)

doi:10.34163/jkits.2020.15.1.009

Implementation of Power Saving Management System Based on Power Usage Pattern of Data Center Server

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2020, 15(1), pp.91-101
DOI : 10.34163/jkits.2020.15.1.009
Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Studies > Interdisciplinary Research
Received : January 8, 2020
Accepted : February 7, 2020
Published : February 29, 2020

Hwa Jeong Lee ¹, Min-Yong Jung ¹, Kim Chang Geun ¹, HyunJu Kim ¹

¹경남과학기술대학교

Accredited

ABSTRACT

Recently, the emergence of the fourth industrial revolution and the development of the internet environment have resulted in a rapid increase in internet users. According to IT consulting firms, the number of internet users in 2014 increased from 2.4 billion to 3.8 billion in 2017, an explosive increase of 42% in just three years. This rapid increase in internet users leads to increased data throughput on data center servers. This greatly affects the power consumption of the data center, which is one of the major causes of power consumption. In this paper, we implemented a power saving monitoring system based on the power usage pattern for individual servers in the data center. The proposed system implements a function to analyze the power consumption of individual servers in the form of hourly, daily, weekly, monthly and quarterly based on situational awareness technology. Through this, a power consumption pattern can be generated that reflects the usage characteristics of the server, and the generated power consumption pattern is reflected as the saving policy of the individual server, which can be registered in the system proposed in this paper and perform efficient power. Based on the proposed model, the virtual simulation result is expected to save about 5% of individual server power consumption.

KEYWORDS

Power Saving, Context Awareness, Data Center, Monitoring System, Consumption

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* References for papers published after 2023 are currently being built.

[web] / 2020 / http://www.ciokorea.com/news/128334 / http://www.ciokorea.com/news/128334

[web] / 2020 / http://www.munhwa.com/news/view.html?no=2018011701032809000001 / http://www.munhwa.com/news/view.html?no=2018011701032809000001

[journal] 이화정 / 2019 / A Study on Energy Saving Monitoring System of Data Center based on Context Awareness / 융합정보논문지 / 중소기업융합학회 9(1) : 19~27

[journal] 이용희 / 2014 / A Study on Computer Center Maintenance Savings through NT Server Consolidate Virtualization / 한국컴퓨터정보학회논문지 / 한국컴퓨터정보학회 19(2) : 11~19

[journal] 전병진 / 2017 / Improved Integrated Monitoring System Design and Construction / 융합정보논문지 / 중소기업융합학회 7(1) : 25~33

[journal] H. J. Lee / 2012 / A technology of context-aware based building management for energy efficiency / Convergence Society for SMB 2(1) : 69~75

[report] J. Y. Oh / 2015 / Virtualization based Server-Client Model for Reducing Power Consumption / Korea Information Science Society : 1170~1172

[confproc] H. J. Lee / 2017 / A study of efficient power management for intelligent data center system / Proceedings Conference on Knowledge Information Technology and System 11(2)

[confproc] M. Y. Jung / 2017 / A study on energy conservation system of integrated computing center based on context awareness / Proceedings Conference on Knowledge Information Technology and System 11(1)

[confproc] H. J. Lee / 2018 / A study on energy conservation system of university of computing center based on machine learning / Proceedings Conference on Knowledge Information Technology and System 12(1)

[web] / 2020 / http://magazine.contenta.co/2017/12/2 / http://magazine.contenta.co/2017/12/2

[web] / 2020 / https://www.lenovo.com/kr/ko/data-center/systems-management/xclarity-energy-manager/ / https://www.lenovo.com/kr/ko/data-center/systems-management/xclarity-energy-manager/

[web] / 2020 / https://www.rohde-schwarz.com/kr/products/test-and-measurement/overview/test-measureme nt-overview_229579.html / https://www.rohde-schwarz.com/kr/products/test-and-measurement/overview/test-measurement-overview_229579.html

[book] P. Massiglia / 2003 / Virtual storage redefined: Technologies and applications for storage virtualization / VERITAS Software Corporation

[report] J. Y. Oh / 2015 / Virtualization based server-client model for reducing power consumption / Korea Information Science Society : 1170~1172

[confproc] H. J. Lee / 2018 / A study on monitoring tool of web server system for effective power management policy of data center / Proceedings Conference on Knowledge Information Technology and System 12(2)

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Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

Implementation of Power Saving Management System Based on Power Usage Pattern of Data Center Server

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* References for papers published after 2023 are currently being built.

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

Implementation of Power Saving Management System Based on Power Usage Pattern of Data Center Server

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* References for papers published after 2023 are currently being built.