Characterizing and analyzing renewable energy driven data centers

  • Authors:
  • Chao Li;Amer Qouneh;Tao Li

  • Affiliations:
  • University of Florida, Gainesville, USA;University of Florida, Gainesville, USA;University of Florida, Gainesville, USA

  • Venue:
  • Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
  • Year:
  • 2011

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Abstract

An increasing number of data centers today start to incorporate renewable energy solutions to cap their carbon footprint. However, the impact of renewable energy on large-scale data center design is still not well understood. In this paper, we model and evaluate data centers driven by intermittent renewable energy. Using real-world data center and renewable energy source traces, we show that renewable power utilization and load tuning frequency are two critical metrics for designing sustainable high-performance data centers. Our characterization reveals that load power fluctuation together with the intermittent renewable power supply introduce unnecessary tuning activities, which can increase the management overhead and degrade the performance of renewable energy driven data centers.