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Greening Geographical Load Balancing
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DOI：10.1109/TNET.2014.2308295.png)
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摘要
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Energy expenditure has become a significant fraction of data center operating costs. Recently, geographical load balancing has been proposed to reduce energy cost by exploiting the electricity price differences across regions. However, this reduction of cost can paradoxically increase total energy use. We explore whether the geographical diversity of Internet-scale systems can also provide environmental gains. Specifically, we explore whether geographical load balancing can encourage use of green renewable energy and reduce use of brown fossil fuel energy. We make two contributions. First, we derive three distributed algorithms for achieving optimal geographical load balancing. Second, we show that if the price of electricity is proportional to the instantaneous fraction of the total energy that is brown, then geographical load balancing significantly reduces brown energy use. However, the benefits depend strongly on dynamic energy pricing and the form of pricing used.
Keyword:
Data centers
demand response
distributed algorithms
geographical load balancing
renewable energy
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3.6
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4.4K
被引数:
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