Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
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A Study on Energy Saving Monitoring System of Data Center based on Context Awareness

상황인지 기반 데이터센터의 전력절감 모니터링 시스템에 관한 연구

  • Lee, Hwa-Jeong (Department of Computer Science & Engineering, GNTECH) ;
  • Jung, Min-Yong (Department of Computer Science & Engineering, GNTECH) ;
  • Kim, Chang-Geun (Department of Computer Science & Engineering, GNTECH) ;
  • Kim, Hyun-Ju (Department of Computer Science & Engineering, GNTECH)
  • 이화정 (경남과학기술대학교 컴퓨터공학과) ;
  • 정민영 (경남과학기술대학교 컴퓨터공학과) ;
  • 김창근 (경남과학기술대학교 컴퓨터공학과) ;
  • 김현주 (경남과학기술대학교 컴퓨터공학과)
  • Received : 2018.10.30
  • Accepted : 2019.01.20
  • Published : 2019.01.28
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Abstract

In recent years, with the advancement of IT technology, we expect data size of the world to increase 10 times in 2025. The rapid development of this Internet technology leads to the downsizing of the server system of the data center which manages and operates the data, the capacity of the storage medium, and the power consumption of the data center. In this paper, we propose an energy conservation policy and analyze it in real time by analyzing the power consumption pattern of the server system of the data center. The proposed system can monitor and analyze the power consumption pattern of the individual server system in the data center, and it can be expected that about 10% of the total power consumption of the data center will be saved by efficiently managing the actual operation time of the server system.

최근 IT기술의 발전에 따라 2025년 전 세계의 데이터 규모가 현재보다 10배 정도 증가할 것으로 예상한다. 이러한 인터넷 기술의 급속한 발전은 데이터센터 내에서 서버시스템의 고사양화와 저장매체의 대용량화 등을 초래하며, 이는 데이터센터의 전력 소비를 증가시키는 원인이 되고 있다. 이에 본 논문에서는 데이터센터의 서버시스템에 대한 전력 소모패턴을 분석하여 에너지 절전정책을 추천하고 이를 실시간으로 모니터링하는 시스템을 제안한다. 제안한 시스템은 데이터센터의 개별 서버시스템에 대한 전력 소모패턴을 모니터링하고 분석할 수 있으며, 서버시스템의 실제 동작 시간을 효율적으로 관리하여 데이터센터의 전체 전력소모량 대비 10% 내외 정도가 절감될 것으로 기대한다.

Keywords

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Fig. 1. CPU usage by time of day

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Fig. 2. operation flowchart of ESMS

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Fig. 3. Flow chart of power reduction policy recommendation

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Fig. 4. Types for power saving patterns

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Fig. 5. Flow Chart for Power Saving Monitoring

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Fig. 6. Structure of ESMS

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Fig. 7. First Interface of ESMS

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Fig. 8. Information gathering Interface for power consumption pattern

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Fig. 9. Analysis Interface for power consumption pattern

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Fig. 10. Interface for creating recommendation policy for power saving.

Table 1. Comparison by Item

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Table 2. Comparison of power consumption

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