• DocumentCode
    3657135
  • Title

    Cost Minimization Using Renewable Cooling and Thermal Energy Storage in CDNs

  • Author

    Stephen Lee;Rahul Urgaonkar;Ramesh Sitaraman;Prashant Shenoy

  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    121
  • Lastpage
    126
  • Abstract
    Content delivery networks (CDNs) employ hundreds of data centers that are distributed across various geographical locations. These data centers consume a significant amount of energy to power and cool their servers. This paper investigates the joint effectiveness of using two new cooling technologies - open air cooling (OAC) and thermal energy storage (TES) - in CDNs to reduce their dependence on traditional chiller-based cooling and minimize its energy costs. Our Lyapunov-based online algorithm optimally distributes workload to data centers leveraging price and weather variations. We conduct a trace based simulation using weather data from NOAA and workload data from a global CDN. Our results show that CDNs can achieve at least 64% and 98% cooling energy savings during summer and winter respectively. Further, CDNs can significantly reduce their cooling energy footprint by switching to renewable open air cooling. We also empirically evaluate our approach and show that it performs optimally.
  • Keywords
    "Cooling","Servers","Meteorology","Energy storage","Thermal energy","Pricing","Data models"
  • Publisher
    ieee
  • Conference_Titel
    Autonomic Computing (ICAC), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICAC.2015.39
  • Filename
    7266942