Online algorithms for geographical load balancing

  title={Online algorithms for geographical load balancing},
  author={Minghong Lin and Zhenhua Liu and Adam Wierman and Lachlan L. H. Andrew},
  journal={2012 International Green Computing Conference (IGCC)},
It has recently been proposed that Internet energy costs, both monetary and environmental, can be reduced by exploiting temporal variations and shifting processing to data centers located in regions where energy currently has low cost. Lightly loaded data centers can then turn off surplus servers. This paper studies online algorithms for determining the number of servers to leave on in each data center, and then uses these algorithms to study the environmental potential of geographical load… CONTINUE READING
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