A Caltech Library Service

Geographical Load Balancing with Renewables

Liu, Zhenhua and Lin, Minghong and Wierman, Adam and Low, Steven H. and Andrew, Lachlan L. H. (2011) Geographical Load Balancing with Renewables. In: ACM Sigmetrics 2011, 7-11 June 2011, San Jose, CA. (Unpublished)

PDF - Submitted Version
See Usage Policy.


Use this Persistent URL to link to this item:


Given the significant energy consumption of data centers, improving their energy efficiency is an important social problem. However, energy efficiency is necessary but not sufficient for sustainability, which demands reduced usage of energy from fossil fuels. This paper investigates the feasibility of powering internet-scale systems using (nearly) entirely renewable energy. We perform a trace-based study to evaluate three issues related to achieving this goal: the impact of geographical load balancing, the role of storage, and the optimal mix of renewables. Our results highlight that geographical load balancing can significantly reduce the required capacity of renewable energy by using the energy more efficiently with “follow the renewables” routing. Further, our results show that small-scale storage can be useful, especially in combination with geographical load balancing, and that an optimal mix of renewables includes significantly more wind than photovoltaic solar.

Item Type:Conference or Workshop Item (Paper)
Related URLs:
URLURL TypeDescription Website
Low, Steven H.0000-0001-6476-3048
Additional Information:© 2011 ACM. This work was supported by NSF grants CCF 0830511, CNS 0911041, and CNS 0846025, DoE grant DE-EE0002890, ARO MURI grant W911NF-08-1-0233, Microsoft Research, Bell Labs, the Lee Center for Advanced Networking, and ARC grant FT0991594.
Funding AgencyGrant Number
Department of Energy (DOE)DE-EE0002890
Army Research Office (ARO)W911NF-08-1-0233
Microsoft ResearchUNSPECIFIED
Caltech Lee Center for Advanced NetworkingUNSPECIFIED
Australian Research CouncilFT0991594
Record Number:CaltechAUTHORS:20110614-094637693
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:24000
Deposited By: Tony Diaz
Deposited On:14 Jun 2011 19:51
Last Modified:29 Jul 2020 22:57

Repository Staff Only: item control page