A survey on green-energy-aware power management for datacenters

Fanxin Kong, Xue Liu

Research output: Contribution to journalReview article

85 Scopus citations

Abstract

Megawatt-scale datacenters have emerged to meet the increasing demand for IT applications and services. The hunger for power brings large electricity bills to datacenter operators and causes significant impacts to the environment. To reduce costs and environmental impacts, modern datacenters, such as those of Google and Apple, are beginning to integrate renewable or green energy sources into their power supply. This article investigates the green-energy-aware power management problem for these datacenters and surveys and classifies works that explicitly consider renewable energy and/or carbon emission. Our aim is to give a full view of this problem. Hence, we first provide some basic knowledge on datacenters (including datacenter components, power infrastructure, power load estimation, and energy sources' operations), the electrical grid (including dynamic pricing, power outages, and emission factor), and the carbon market (including cap-andtrade and carbon tax). Then, we categorize existing research works according to their basic approaches used, including workload scheduling, virtual machine management, and energy capacity planning. Each category's discussion includes the description of the shared core idea, qualitative analysis, and quantitative analysis among works of this category.

Original languageEnglish (US)
Article number2642708
JournalACM Computing Surveys
Volume47
Issue number2
DOIs
StatePublished - Aug 1 2014

Keywords

  • Cost minimization
  • Datacenter
  • Dynamic pricing
  • Emission
  • Green energy
  • Power management
  • Renewable energy

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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