Data Centers Face Energy Efficiency Challenges

Strategic Insights -

Research from Technological University highlights the need for precise energy efficiency evaluation in data centers, citing rising energy consumption and limitations of current metrics for assessing data center energy performance. The study proposes an integrated architecture to measure energy efficiency metrics, addressing the heterogeneity of energy data and supporting accurate, near real-time presentation measurements for analysis of data center efficiency.

Key Takeaways:

  • The research emphasizes the importance of precise energy efficiency evaluation in data centers due to rising energy consumption.
  • The current Power Usage Effectiveness (PUE) metric has limitations, and additional metrics are needed to enable a general assessment that links energy consumption to service quality.
  • The study proposes a layered integration architecture to measure energy efficiency metrics, addressing the heterogeneity of energy data.
  • Commercial and open-source tools for estimating PUE are compared based on their accuracy, usability, and cost-effectiveness.
  • The research aims to provide a general assessment of data center efficiency, focusing on the relationship between energy consumption and service quality.
  • The study highlights the need for accurate, near real-time presentation measurements for data center efficiency analysis.
  • The proposed architecture integrates data from various sources, including energy data and service quality metrics.
  • Annia Lisbeth Barban Acea, a researcher from Technological University, led the study and proposed the integrated architecture.
  • The study's findings were published in Telematica, a journal published by the Departamento de Telecomunicaciones y Telematica.

Statistics:

  • Energy consumption in data centers is rising, highlighting the need for precise energy efficiency evaluation.
  • The Power Usage Effectiveness (PUE) metric has limitations, and additional metrics are needed to enable a general assessment of data center efficiency.
  • The study compared commercial and open-source tools for estimating PUE, with a focus on accuracy, usability, and cost-effectiveness.
  • The proposed architecture aims to integrate data from various sources, including energy data and service quality metrics, to support accurate, near real-time presentation measurements for data center efficiency analysis.
  • The study's findings were published in Telematica, a journal published by the Departamento de Telecomunicaciones y Telematica.

Sources:

  • "Integrated Architecture Proposal For The Collection And Processing of Energy Metrics in Data Centers." Telematica, 2025,24. (Telematica - http://revistatelematica.cujae.edu.cu/)
  • NewsRx. "Technological University Researcher Describes Findings in Data Centers (Integrated Architecture Proposal For The Collection And Processing of Energy Metrics in Data Centers)." Information Technology Newsweekly, October 28, 2025; p 967.