Server-Level Power Control
By Charles R. Lefurgy, Xiaorui Wang, Malcolm S. Allen-Ware. International Conference on Automation and Computing, 2007
313 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Hardware and Architecture
View Paper: https://www.semanticscholar.org/paper/bd0f96ce5b54231f342e8668dff4bc9ee8200f8c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Rajarshi Das
- G. Tesauro
- Yonggang Wen
- Miyuru Dayarathna
- David Meisner
- Jeffrey O. Kephart
- Ripal Nathuji
- Brian T. Gold
In Hardware and Architecture
- David Meisner
- Qiang Wu
- Yonggang Wen
- Ripal Nathuji
- Brian T. Gold
- Charles R. Lefurgy
- Miyuru Dayarathna
- Thomas F. Wenisch
Citations in the corpus
- Dynamo: Facebook's Data Center-Wide Power Management System (2016, background): “The local power utility supplies the data center with 30 MW of power.”
- Autonomic multi-agent management of power and performance in data centers (2008, background): “Categories and Subject Descriptors D.4.8 [Software]: Performance—measurements, modeling and prediction, operational analysis General Terms Data center, power measurement, multicriteria utility functions, policy-based management Keywords Green Data Center, Power Management, Energy Savings”
- VirtualPower: coordinated power management in virtualized enterprise systems (2007, background): “industry research is developing system support for power consumption monitoring that can be used as feedback for such policies [22, 33].”
- Data Center Energy Consumption Modeling: A Survey (2016, background): “have observed that server power consumption changes immediately (within a millisecond) as the system’s performance state changes from irrespective of the previous performance state [126].”
- Power and performance management of virtualized computing environments via lookahead control (2008, unknown): “Section 8 concludes the paper.”
- PowerNap: eliminating server idle power (2009, background): “dynamic voltage and frequency scaling (DVFS) nearly eliminate processor power consumption in idle systems, presentday servers still dissipate about 60% as much power when idle as when fully loaded [4,6,13].”