Scheduling Processor Voltage and Frequency in Server and Cluster Systems
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 11 - Volume 12
Boosting Data Center Performance Through Non-Uniform Power Allocation
ICAC '05 Proceedings of the Second International Conference on Automatic Computing
A performance-conserving approach for reducing peak power consumption in server systems
Proceedings of the 19th annual international conference on Supercomputing
The interplay of reward and energy in real-time systems
The interplay of reward and energy in real-time systems
Autonomic power and performance management for computing systems
Cluster Computing
Autonomic multi-agent management of power and performance in data centers
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
Workload Analysis and Demand Prediction of Enterprise Data Center Applications
IISWC '07 Proceedings of the 2007 IEEE 10th International Symposium on Workload Characterization
True value: assessing and optimizing the cost of computing at the data center level
Proceedings of the 6th ACM conference on Computing frontiers
Optimal power allocation in server farms
Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems
Cutting the electric bill for internet-scale systems
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
SolarCAST: using widely accessible environmental variables to forecast solar power
Proceedings of the 46th Annual Southeast Regional Conference on XX
Tracking the power in an enterprise decision support system
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
Sustainable data centers: enabled by supply and demand side management
Proceedings of the 46th Annual Design Automation Conference
Green data centers and hot chips
Proceedings of the 46th Annual Design Automation Conference
SHIP: Scalable Hierarchical Power Control for Large-Scale Data Centers
PACT '09 Proceedings of the 2009 18th International Conference on Parallel Architectures and Compilation Techniques
Blink: managing server clusters on intermittent power
Proceedings of the sixteenth international conference on Architectural support for programming languages and operating systems
Greening geographical load balancing
Proceedings of the ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
SolarCore: Solar energy driven multi-core architecture power management
HPCA '11 Proceedings of the 2011 IEEE 17th International Symposium on High Performance Computer Architecture
GreenWare: greening cloud-scale data centers to maximize the use of renewable energy
Middleware'11 Proceedings of the 12th ACM/IFIP/USENIX international conference on Middleware
GreenWare: greening cloud-scale data centers to maximize the use of renewable energy
Proceedings of the 12th International Middleware Conference
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Data centers operating cost are dominated by their power consumption. Renewable energy sources can reduce the operating costs when correctly selected. Nevertheless, this is a non trivial task because it should consider different energy sources (wind, solar), storage alternatives (batteries, grid-tie), workload, historical weather patterns, incentives, and service agreement penalties. These are the basic factors, but the model should be extensive to consider other factors like power gating support. This paper introduces ReRack, an extensible simulation infrastructure that can be used to evaluate the energy cost of a data center using renewable energy sources. ReRack is composed of two main components, a simulation and an optimization component. The simulation component explores the cost effectiveness of renewable energy generation. It requires a model that can simulate both the data center power usage and the location-dependent variability of the power generation source (solar and wind). The ReRack optimization component finds the best ratio of renewable energy sources for a given location and workload.