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
Engineering and Technology D-index 31 Citations 6,894 155 World Ranking 5972 National Ranking 245

Overview

What is he best known for?

The fields of study he is best known for:

  • Computer network
  • Statistics
  • The Internet

His scientific interests lie mostly in Energy consumption, Online algorithm, Real-time computing, Data center and Mathematical optimization. Lachlan L. H. Andrew has included themes like Efficient energy use, Renewable energy and Communications system in his Energy consumption study. His Online algorithm research integrates issues from Server and Competitive analysis.

Lachlan L. H. Andrew focuses mostly in the field of Server, narrowing it down to topics relating to Distributed computing and, in certain cases, Provisioning. His Real-time computing research includes elements of Distributed generation, Artificial neural network, Mean squared error, Processor sharing and Robustness. His Data center research incorporates themes from Load balancing and Load balancing.

His most cited work include:

  • Greening geographical load balancing (408 citations)
  • Dynamic right-sizing for power-proportional data centers (332 citations)
  • Dynamic right-sizing for power-proportional data centers (274 citations)

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

Computer network, Distributed computing, Mathematical optimization, Network congestion and Network packet are his primary areas of study. Lachlan L. H. Andrew works mostly in the field of Computer network, limiting it down to concerns involving Wireless lan and, occasionally, Network performance. His biological study spans a wide range of topics, including Download, Quality of service, Server, Scheduling and Efficient energy use.

His work focuses on many connections between Mathematical optimization and other disciplines, such as Competitive analysis, that overlap with his field of interest in Regret and Online algorithm. His Online algorithm study combines topics in areas such as Provisioning and Data center. His research integrates issues of Energy consumption and Load balancing in his study of Data center.

He most often published in these fields:

  • Computer network (44.75%)
  • Distributed computing (15.47%)
  • Mathematical optimization (14.92%)

What were the highlights of his more recent work (between 2012-2021)?

  • Mathematical optimization (14.92%)
  • Computer network (44.75%)
  • Competitive analysis (4.42%)

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

Lachlan L. H. Andrew mostly deals with Mathematical optimization, Computer network, Competitive analysis, Convex optimization and Regret. Lachlan L. H. Andrew has researched Mathematical optimization in several fields, including Energy consumption, Markov model and Robustness. His work deals with themes such as IEEE 802.11, Wireless lan, Throughput and IPv4 address exhaustion, which intersect with Computer network.

His Competitive analysis study deals with Online algorithm intersecting with Efficient energy use, Server and Data center. The Efficient energy use study which covers Algorithm design that intersects with Distributed computing. His work carried out in the field of Data center brings together such families of science as Distributed algorithm, Load management and Load balancing.

Between 2012 and 2021, his most popular works were:

  • Dynamic right-sizing for power-proportional data centers (274 citations)
  • Short-term residential load forecasting: Impact of calendar effects and forecast granularity (111 citations)
  • Greening geographical load balancing (80 citations)

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

  • Computer network
  • Statistics
  • The Internet

His primary scientific interests are in Online algorithm, Competitive analysis, Data center, Convex optimization and Mathematical optimization. His Data center research is multidisciplinary, incorporating elements of Electricity, Load balancing, Efficient energy use and Server. His research in Convex optimization intersects with topics in Metrical task system and Regret.

His study in the field of Online optimization is also linked to topics like Stochastic control. Lachlan L. H. Andrew undertakes interdisciplinary study in the fields of Sizing and Real-time computing through his works. His Workload research overlaps with Distributed computing and Energy consumption.

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

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

Geographical load balancing with renewables

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

230 Citations

Connectivity, coverage and placement in wireless sensor networks.

Ji Li;Lachlan Leicester Henry Andrew;Chuan Heng Foh;Moshe Zukerman.
Sensors (2009)

174 Citations

Optimality, fairness, and robustness in speed scaling designs

Lachlan L.H. Andrew;Minghong Lin;Adam Wierman.
measurement and modeling of computer systems (2010)

171 Citations

Short-term residential load forecasting: Impact of calendar effects and forecast granularity

Peteris Lusis;Peteris Lusis;Kaveh Rajab Khalilpour;Lachlan Andrew;Ariel Liebman.
Applied Energy (2017)

163 Citations

Understanding XCP: equilibrium and fairness

S.H. Low;L.L.H. Andrew;B.P. Wydrowski.
international conference on computer communications (2005)

129 Citations

Decentralized signal control for urban road networks

Tung Le;Péter Kovács;Neil Walton;Hai L. Vu.
Transportation Research Part C-emerging Technologies (2015)

107 Citations

Best Scientists Citing Lachlan L. H. Andrew

Adam Wierman

Adam Wierman

California Institute of Technology

Publications: 49

Minghua Chen

Minghua Chen

City University of Hong Kong

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Xue Liu

Xue Liu

McGill University

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Baochun Li

Baochun Li

University of Toronto

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Nguyen H. Tran

Nguyen H. Tran

University of Sydney

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Chuan Wu

Chuan Wu

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Choong Seon Hong

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Kyung Hee University

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Zongpeng Li

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Wuhan University

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Ramesh K. Sitaraman

Ramesh K. Sitaraman

University of Massachusetts Amherst

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Hai Jin

Hai Jin

Huazhong University of Science and Technology

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Zhisheng Niu

Zhisheng Niu

Tsinghua University

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Rajkumar Buyya

Rajkumar Buyya

University of Melbourne

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Sheng Zhou

Sheng Zhou

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Fangming Liu

Fangming Liu

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Kirk Pruhs

Kirk Pruhs

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Martin Maier

Martin Maier

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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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