Conference Proceedings

Online algorithms for geographical load balancing

M Lin, Z Liu, A Wierman, LLH Andrew

2012 International Green Computing Conference Igcc 2012 | IEEE | Published : 2012

Abstract

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 balancing (GLB). A commonly suggested algorithm for this setting is "receding horizon control" (RHC), which computes the provisioning for the current time by optimizing over a window of predicted future l..

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University of Melbourne Researchers

Grants

Awarded by NSF


Awarded by MURI


Awarded by ARC


Funding Acknowledgements

This work was supported by NSF grants CCF 0830511, CNS 0911041, and CNS 0846025 MURI grant W911NF-081-0233, Microsoft Research, the Lee Center for Advanced Networking, and ARC grant FT0991594.