2012 - ACM Senior Member
The scientist’s investigation covers issues in Server, Power management, Real-time computing, Energy management and Power control. Server is a subfield of Computer network that Charles R. Lefurgy explores. His Power management research incorporates elements of Frequency scaling and Data center.
His work deals with themes such as Power budget and Voltage, which intersect with Real-time computing. His Energy management research incorporates themes from Energy consumption, Energy conservation and Workload. His Power control research is multidisciplinary, incorporating elements of Control system and Control theory.
His main research concerns Power management, Server, Embedded system, Real-time computing and Set. Charles R. Lefurgy brings together Power management and Context to produce work in his papers. His Server study integrates concerns from other disciplines, such as Energy consumption, Scalability, Data center and Power control.
Charles R. Lefurgy has included themes like System software, Software, Frequency scaling and State in his Embedded system study. His Real-time computing study combines topics in areas such as Power consumption, Control theory, Power budget and Voltage. His Set study combines topics from a wide range of disciplines, such as Computer program and Data processing system, Computer hardware.
Power budget, Electronic engineering, Power consumption, Computer program and Electrical engineering are his primary areas of study. His Power budget study often links to related topics such as Real-time computing. His work carried out in the field of Electronic engineering brings together such families of science as Leakage power, Workload, Chip, Power management and Voltage.
His Power consumption research is multidisciplinary, incorporating perspectives in Distributed power and Reliability engineering. His Computer program research includes themes of Granularity, Set and Computer data storage. Charles R. Lefurgy interconnects Computer network, Server and Cloud computing in the investigation of issues within Power demand.
Charles R. Lefurgy spends much of his time researching Chip, Power demand, Current, Embedded system and Power budget. The Chip study which covers Electronic engineering that intersects with Thermal design power, Power control, Power management and Reliability. His Power demand research is multidisciplinary, incorporating elements of Scalability, Computer network, Data center, Server and Cloud computing.
By researching both Embedded system and Clock rate, Charles R. Lefurgy produces research that crosses academic boundaries. His Power budget research includes themes of Distribution networks, Data processing system and Reliability engineering. His Computer hardware study combines topics in areas such as Workload and Vital Product Data.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Optimal power allocation in server farms
Anshul Gandhi;Mor Harchol-Balter;Rajarshi Das;Charles Lefurgy.
measurement and modeling of computer systems (2009)
Energy management for commercial servers
C. Lefurgy;K. Rajamani;F. Rawson;W. Felter.
IEEE Computer (2003)
The case for power management in web servers
Pat Bohrer;Elmootazbellah N. Elnozahy;Tom Keller;Michael Kistler.
Power aware computing (2002)
Server-Level Power Control
C. Lefurgy;Xiaorui Wang;M. Ware.
international conference on autonomic computing (2007)
Improving code density using compression techniques
Charles Lefurgy;Peter Bird;I-Cheng Chen;Trevor Mudge.
international symposium on microarchitecture (1997)
Critical power slope: understanding the runtime effects of frequency scaling
Akihiko Miyoshi;Charles Lefurgy;Eric Van Hensbergen;Ram Rajamony.
international conference on supercomputing (2002)
On evaluating request-distribution schemes for saving energy in server clusters
K. Rajamani;C. Lefurgy.
international symposium on performance analysis of systems and software (2003)
Power capping: a prelude to power shifting
Charles Lefurgy;Xiaorui Wang;Malcolm Ware.
Cluster Computing (2008)
SHIP: Scalable Hierarchical Power Control for Large-Scale Data Centers
Xiaorui Wang;Ming Chen;Charles Lefurgy;Tom W. Keller.
international conference on parallel architectures and compilation techniques (2009)
Coordinating Multiple Autonomic Managers to Achieve Specified Power-Performance Tradeoffs
J.O. Kephart;Hoi Chan;R. Das;D.W. Levine.
international conference on autonomic computing (2007)
IBM (United States)
University of Michigan–Ann Arbor
Goldman Sachs (United States)
The Ohio State University
King Abdullah University of Science and Technology
IBM (United States)
IBM (United States)
East China University of Science and Technology
IBM (United States)
University of Michigan–Ann Arbor
Profile was last updated on December 6th, 2021.
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The ranking d-index is inferred from publications deemed to belong to the considered discipline.
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