Full-System Power Analysis and Modeling for Server Environments

By D. Economou, Suzanne Rivoire, Christos Kozyrakis, Partha Ranganathan. 2006

397 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Energy-Efficient Cloud Computing (2010, background): “Recent research has considered power minimisation in server clusters, with guaranteed throughput and response time [36].”
EnaCloud: An Energy-Saving Application Live Placement Approach for Cloud Computing Environments (2009, background): “For example, mantis [18] presents a linear power model for full-system power analysis and modeling.”
Power provisioning for a warehouse-sized computer (2007, methodology): “For each class of machines deployed, one set of calibration experiments is needed to produce the corresponding model; an approach similar to Mantis [10].”
Estimation of energy consumption in machine learning (2019, methodology): “Some models, however, need an offline calibration phase to obtain the parameters of the model, but this is usually done only once [22] for each machine.”
Data Center Energy Consumption Modeling: A Survey (2016, methodology): “The disk and the power supply unit are another two large contributors to this collection [104] which are specifically not shown in Figure 8.”