D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 32 Citations 6,165 58 World Ranking 7139 National Ranking 3362

Research.com Recognitions

Awards & Achievements

2012 - ACM Senior Member

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Central processing unit
  • Programming language

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 most cited work include:

  • Optimal power allocation in server farms (426 citations)
  • Energy management for commercial servers (424 citations)
  • The case for power management in web servers (301 citations)

What are the main themes of his work throughout his whole career to date?

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.

He most often published in these fields:

  • Power management (19.33%)
  • Server (18.49%)
  • Embedded system (17.65%)

What were the highlights of his more recent work (between 2014-2020)?

  • Power budget (14.29%)
  • Electronic engineering (11.76%)
  • Power consumption (11.76%)

In recent papers he was focusing on the following fields of study:

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.

Between 2014 and 2020, his most popular works were:

  • Adaptive guardband scheduling to improve system-level efficiency of the POWER7+ (27 citations)
  • Robust power management in the IBM z13 (15 citations)
  • Power/Performance Controlling Techniques in OpenPOWER (11 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Central processing unit
  • Programming language

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.

Best Publications

Optimal power allocation in server farms

Anshul Gandhi;Mor Harchol-Balter;Rajarshi Das;Charles Lefurgy.
measurement and modeling of computer systems (2009)

610 Citations

Energy management for commercial servers

C. Lefurgy;K. Rajamani;F. Rawson;W. Felter.
IEEE Computer (2003)

573 Citations

The case for power management in web servers

Pat Bohrer;Elmootazbellah N. Elnozahy;Tom Keller;Michael Kistler.
Power aware computing (2002)

449 Citations

Server-Level Power Control

C. Lefurgy;Xiaorui Wang;M. Ware.
international conference on autonomic computing (2007)

357 Citations

Improving code density using compression techniques

Charles Lefurgy;Peter Bird;I-Cheng Chen;Trevor Mudge.
international symposium on microarchitecture (1997)

331 Citations

Critical power slope: understanding the runtime effects of frequency scaling

Akihiko Miyoshi;Charles Lefurgy;Eric Van Hensbergen;Ram Rajamony.
international conference on supercomputing (2002)

329 Citations

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)

255 Citations

Power capping: a prelude to power shifting

Charles Lefurgy;Xiaorui Wang;Malcolm Ware.
Cluster Computing (2008)

246 Citations

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)

214 Citations

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)

196 Citations

Best Scientists Citing Charles R. Lefurgy

Xiaorui Wang

Xiaorui Wang

The Ohio State University

Publications: 59

Kevin C. Gower

Kevin C. Gower

IBM (United States)

Publications: 43

Pradip Bose

Pradip Bose

IBM (United States)

Publications: 39

Alper Buyuktosunoglu

Alper Buyuktosunoglu

IBM (United States)

Publications: 36

Luca Benini

Luca Benini

University of Bologna

Publications: 34

Jorg Henkel

Jorg Henkel

Karlsruhe Institute of Technology

Publications: 29

Anand Sivasubramaniam

Anand Sivasubramaniam

Pennsylvania State University

Publications: 27

Onur Mutlu

Onur Mutlu

ETH Zurich

Publications: 26

Ricardo Bianchini

Ricardo Bianchini

Microsoft (United States)

Publications: 25

Parthasarathy Ranganathan

Parthasarathy Ranganathan

Google (United States)

Publications: 21

Karsten Schwan

Karsten Schwan

Georgia Institute of Technology

Publications: 20

Daniel Mosse

Daniel Mosse

University of Pittsburgh

Publications: 20

Henry Hoffmann

Henry Hoffmann

University of Chicago

Publications: 19

Jie Liu

Jie Liu

Harbin Institute of Technology

Publications: 17

Rajkumar Buyya

Rajkumar Buyya

University of Melbourne

Publications: 17

Makoto Takizawa

Makoto Takizawa

Hosei University

Publications: 17

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us
Something went wrong. Please try again later.