• DocumentCode
    76756
  • Title

    Harnessing renewable energy in cloud datacenters: opportunities and challenges

  • Author

    Wei Deng ; Fangming Liu ; Hai Jin ; Bo Li ; Dan Li

  • Author_Institution
    Services Comput. Technol. & Syst. Lab., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    28
  • Issue
    1
  • fYear
    2014
  • fDate
    January-February 2014
  • Firstpage
    48
  • Lastpage
    55
  • Abstract
    The proliferation of cloud computing has promoted the wide deployment of largescale datacenters with tremendous power consumption and high carbon emission. To reduce power cost and carbon footprint, an increasing number of cloud service providers have considered green datacenters with renewable energy sources, such as solar or wind. However, unlike the stable supply of grid energy, it is challenging to utilize and realize renewable energy due to the uncertain, intermittent and variable nature. In this article, we provide a taxonomy of the state-of-the-art research in applying renewable energy in cloud computing datacenters from five key aspects, including generation models and prediction methods of renewable energy, capacity planning of green datacenters, intra-datacenter workload scheduling and load balancing across geographically distributed datacenters. By exploring new research challenges involved in managing the use of renewable energy in datacenters, this article attempts to address why, when, where and how to leverage renewable energy in datacenters, also with a focus on future research avenues.
  • Keywords
    computer centres; green computing; power consumption; renewable energy sources; capacity planning; cloud datacenters; generation models; green datacenters; intradatacenter workload scheduling; large-scale datacenters; load balancing; prediction methods; renewable energy; Cloud computing; Data centers; Energy harvesting; Green products; Predictive models; Renewable energy sources; Wind forecasting; Wind speed;
  • fLanguage
    English
  • Journal_Title
    Network, IEEE
  • Publisher
    ieee
  • ISSN
    0890-8044
  • Type

    jour

  • DOI
    10.1109/MNET.2014.6724106
  • Filename
    6724106