Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
Greening geographical load balancing
Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
The Case for Evaluating MapReduce Performance Using Workload Suites
MASCOTS '11 Proceedings of the 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems
Leveraging stored energy for handling power emergencies in aggressively provisioned datacenters
ASPLOS XVII Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems
Carbon-Aware Energy Capacity Planning for Datacenters
MASCOTS '12 Proceedings of the 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Data center demand response: avoiding the coincident peak via workload shifting and local generation
Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems
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We formulate optimization problems to study how data centers might modulate their power demands for cost-effective operation taking into account various complexities exhibited by real-world electricity pricing schemes. For computational tractability reasons, we work with a fluid model for power demands which we imagine can be modulated using two abstract knobs of demand dropping and demand delaying (each with its associated penalties or costs). We consider both stochastically known and completely unknown inputs, which are likely to capture different data center scenarios. Using empirical evaluation with both real-world and synthetic power demands and real-world prices, we demonstrate the efficacy of our techniques.