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 36 Citations 8,821 118 World Ranking 5465 National Ranking 2676

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Operating system
  • Microeconomics

His primary scientific interests are in Distributed computing, Data center, Scheduling, Real-time computing and Workload. His Distributed computing research is multidisciplinary, relying on both Speculative execution, Theoretical computer science, Resource allocation and Operations research. His Data center study also includes

  • Demand response and related Environmental economics and Flexibility,
  • Load balancing and related Distributed algorithm.

His Scheduling research is multidisciplinary, incorporating perspectives in Queue and Scalability. His work is dedicated to discovering how Real-time computing, Server are connected with Online algorithm and other disciplines. His Processor sharing research integrates issues from Mathematical optimization and Robustness.

His most cited work include:

  • Greening geographical load balancing (408 citations)
  • Renewable and cooling aware workload management for sustainable data centers (341 citations)
  • Dynamic right-sizing for power-proportional data centers (332 citations)

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

His primary areas of study are Mathematical optimization, Scheduling, Distributed computing, Competitive analysis and Online algorithm. His Mathematical optimization study combines topics from a wide range of disciplines, such as Control, Upper and lower bounds and Regret. Adam Wierman combines subjects such as Workload, Queue, Queueing theory and Response time with his study of Scheduling.

Adam Wierman has included themes like Real-time computing and Operations research in his Workload study. The Real-time computing study which covers Data center that intersects with Supply. His study looks at the relationship between Distributed computing and topics such as Server, which overlap with Load balancing.

He most often published in these fields:

  • Mathematical optimization (28.68%)
  • Scheduling (18.11%)
  • Distributed computing (16.98%)

What were the highlights of his more recent work (between 2019-2021)?

  • Mathematical optimization (28.68%)
  • Electric power system (7.92%)
  • Distributed computing (16.98%)

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

Adam Wierman spends much of his time researching Mathematical optimization, Electric power system, Distributed computing, Control and Competitive analysis. Adam Wierman interconnects State and Server in the investigation of issues within Mathematical optimization. The various areas that Adam Wierman examines in his Electric power system study include Automatic frequency control, Control theory and Reliability.

While the research belongs to areas of Distributed computing, Adam Wierman spends his time largely on the problem of Scalability, intersecting his research to questions surrounding Structure, Workload and Entropy. His work deals with themes such as Online algorithm and Online optimization, which intersect with Competitive analysis. His work in Throughput addresses issues such as Queue, which are connected to fields such as Scheduling.

Between 2019 and 2021, his most popular works were:

  • Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning (16 citations)
  • Signomial and Polynomial Optimization via Relative Entropy and Partial Dualization (9 citations)
  • Online Optimization with Predictions and Non-convex Losses (9 citations)

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

  • Statistics
  • Operating system
  • Computer network

His primary areas of investigation include Mathematical optimization, Control, Constant, Competitive analysis and Online optimization. His studies deal with areas such as Nonlinear control, Temporal difference learning, Contrast, Dynamical system and State as well as Mathematical optimization. His Control research includes elements of Upper and lower bounds and Regret.

His Competitive analysis research incorporates elements of Connection, Online algorithm, Leverage and Descent. Borrowing concepts from Class, Adam Wierman weaves in ideas under Convex optimization. Class is intertwined with Scalability, Structure, Distributed computing, Distance and Property in his study.

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

Dynamic right-sizing for power-proportional data centers

Minghong Lin;Adam Wierman;Lachlan L. H. Andrew;Eno Thereska.
IEEE ACM Transactions on Networking (2013)

877 Citations

Greening geographical load balancing

Zhenhua Liu;Minghong Lin;Adam Wierman;Steven Low.
IEEE ACM Transactions on Networking (2015)

656 Citations

Renewable and cooling aware workload management for sustainable data centers

Zhenhua Liu;Yuan Chen;Cullen Bash;Adam Wierman.
measurement and modeling of computer systems (2012)

454 Citations

Open versus closed: a cautionary tale

Bianca Schroeder;Adam Wierman;Mor Harchol-Balter.
networked systems design and implementation (2006)

315 Citations

Power-Aware Speed Scaling in Processor Sharing Systems

A. Wierman;L. L. H. Andrew;A. Tang.
international conference on computer communications (2009)

287 Citations

Online algorithms for geographical load balancing

Minghong Lin;Zhenhua Liu;Adam Wierman;Lachlan L. H. Andrew.
2012 International Green Computing Conference (IGCC) (2012)

268 Citations

Data center demand response: avoiding the coincident peak via workload shifting and local generation

Zhenhua Liu;Adam Wierman;Yuan Chen;Benjamin Razon.
measurement and modeling of computer systems (2013)

238 Citations

Distributed Welfare Games

Jason R. Marden;Adam Wierman.
Operations Research (2013)

235 Citations

Geographical load balancing with renewables

Zhenhua Liu;Minghong Lin;Adam Wierman;Steven H. Low.
measurement and modeling of computer systems (2011)

230 Citations

Classifying scheduling policies with respect to unfairness in an M/GI/1

Adam Wierman;Mor Harchol-Balter.
measurement and modeling of computer systems (2003)

206 Citations

Best Scientists Citing Adam Wierman

Mor Harchol-Balter

Mor Harchol-Balter

Carnegie Mellon University

Publications: 38

Xue Liu

Xue Liu

McGill University

Publications: 33

Minghua Chen

Minghua Chen

City University of Hong Kong

Publications: 32

Baochun Li

Baochun Li

University of Toronto

Publications: 31

Rajkumar Buyya

Rajkumar Buyya

University of Melbourne

Publications: 27

Fangming Liu

Fangming Liu

Huazhong University of Science and Technology

Publications: 25

Choong Seon Hong

Choong Seon Hong

Kyung Hee University

Publications: 25

Nguyen H. Tran

Nguyen H. Tran

University of Sydney

Publications: 25

Hai Jin

Hai Jin

Huazhong University of Science and Technology

Publications: 24

Chuan Wu

Chuan Wu

University of Hong Kong

Publications: 23

Zhu Han

Zhu Han

University of Houston

Publications: 23

Zongpeng Li

Zongpeng Li

Wuhan University

Publications: 23

Bhuvan Urgaonkar

Bhuvan Urgaonkar

Pennsylvania State University

Publications: 21

Song Guo

Song Guo

Hong Kong Polytechnic University

Publications: 19

Ricardo Bianchini

Ricardo Bianchini

Microsoft (United States)

Publications: 19

Prashant Shenoy

Prashant Shenoy

University of Massachusetts Amherst

Publications: 19

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.

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