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 40 Citations 7,892 119 World Ranking 4504 National Ranking 2250

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Computer network
  • Software

Sharad Singhal focuses on Virtualization, Distributed computing, Server, Service level objective and Data center. His biological study spans a wide range of topics, including Quality of service and Resource. His Resource research is multidisciplinary, relying on both Service level, Resource allocation, Service, Control theory and Adaptive system.

His Server research is multidisciplinary, incorporating elements of Testbed, Workload, CPU time and Real-time computing. While the research belongs to areas of Service level objective, Sharad Singhal spends his time largely on the problem of Database, intersecting his research to questions surrounding Management system, Data as a service and Process management. His Data center study is concerned with the larger field of Operating system.

His most cited work include:

  • Adaptive control of virtualized resources in utility computing environments (559 citations)
  • Automated control of multiple virtualized resources (462 citations)
  • Training Multilayer Perceptrons with the Extended Kalman Algorithm (286 citations)

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

Sharad Singhal spends much of his time researching Distributed computing, Database, Computer network, Resource and Service. His Distributed computing research includes themes of Workload, Quality of service, Data center and Service. His Database study incorporates themes from Software engineering, Key, Management system and Encryption.

The Resource study combines topics in areas such as Virtual machine, Virtualization, Resource allocation and Control theory. His Resource allocation research focuses on Server and how it relates to Scalability, Web server and The Internet. His Service research incorporates themes from Web service, World Wide Web and Outsourcing.

He most often published in these fields:

  • Distributed computing (18.29%)
  • Database (12.80%)
  • Computer network (12.20%)

What were the highlights of his more recent work (between 2011-2020)?

  • Database (12.80%)
  • Distributed computing (18.29%)
  • Encryption (4.88%)

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

Database, Distributed computing, Encryption, Cloud computing and Knowledge management are his primary areas of study. His Database research incorporates elements of Software engineering and Constraint. His Distributed computing study combines topics from a wide range of disciplines, such as Pipeline, Data structure and Programming paradigm.

In his work, Data modeling, World Wide Web, Scale and Data management is strongly intertwined with Data science, which is a subfield of Cloud computing. His studies in Knowledge management integrate themes in fields like Ontology, Business Process Model and Notation, Resource, Systems architecture and Workflow. Sharad Singhal interconnects Node and Computer network in the investigation of issues within Data store.

Between 2011 and 2020, his most popular works were:

  • Fusion: Managing Healthcare Records at Cloud Scale (38 citations)
  • A Systematic Framework Enabling Automatic Conflict Detection and Explanation in Cloud Service Selection for Enterprises (33 citations)
  • Alternate Strategies for a Win-Win Seeking Agent in Agent-Human Negotiations (22 citations)

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

  • Operating system
  • Computer network
  • Software

The scientist’s investigation covers issues in Cloud computing, Distributed computing, Cloud storage, Database and Computer security. His work carried out in the field of Cloud computing brings together such families of science as Encryption, Data management, Constraint and Service. Sharad Singhal has included themes like Raw data, Hardware architecture and Data structure in his Distributed computing study.

The study incorporates disciplines such as Data modeling, World Wide Web, Scale and Data science in addition to Cloud storage. The various areas that Sharad Singhal examines in his Database study include Formal verification, User requirements document and Process management. His biological study spans a wide range of topics, including Terminal, Random access memory and Reboot.

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

Adaptive control of virtualized resources in utility computing environments

Pradeep Padala;Kang G. Shin;Xiaoyun Zhu;Mustafa Uysal.
european conference on computer systems (2007)

756 Citations

Automated control of multiple virtualized resources

Pradeep Padala;Kai-Yuan Hou;Kang G. Shin;Xiaoyun Zhu.
european conference on computer systems (2009)

627 Citations

Training Multilayer Perceptrons with the Extended Kalman Algorithm

Sharad Singhal;Lance Wu.
neural information processing systems (1988)

496 Citations

Performance Evaluation of Virtualization Technologies for Server Consolidation

Pradeep Padala;Xiaoyun Zhu;Zhikui Wang;Sharad Singhal.
(2007)

311 Citations

Utility-driven workload management using nested control design

Xiaoyun Zhu;Zhikui Wang;S. Singhal.
american control conference (2006)

289 Citations

Outsourcing Business to Cloud Computing Services: Opportunities and Challenges

Hamid R Motahari-Nezhad;Bryan Stephenson;Sharad Singhal.
(2009)

287 Citations

A system and method for automatically screening and directing incoming calls

David J. Pepper;Sharad Singhal;E. Scott Soper.
(1996)

286 Citations

SLA management in federated environments

P. Bhoj;S. Singhal;S. Chutani.
Computer Networks (2001)

249 Citations

1000 Islands: Integrated Capacity and Workload Management for the Next Generation Data Center

Xiaoyun Zhu;Don Young;B.J. Watson;Zhikui Wang.
international conference on autonomic computing (2008)

207 Citations

Improving performance of multi-pulse LPC coders at low bit rates

S. Singhal;B. Atal.
international conference on acoustics, speech, and signal processing (1984)

202 Citations

Best Scientists Citing Sharad Singhal

Michael Paul DeHaan

Michael Paul DeHaan

Red Hat (United States)

Publications: 57

Michael D. Swanson

Michael D. Swanson

IBM (United States)

Publications: 30

Bradley E. Marshall

Bradley E. Marshall

Amazon (United States)

Publications: 28

Xiaoyun Zhu

Xiaoyun Zhu

DELL (United States)

Publications: 25

Swaminathan Sivasubramanian

Swaminathan Sivasubramanian

Amazon (United States)

Publications: 24

Scott E. Thompson

Scott E. Thompson

Fujitsu (Japan)

Publications: 21

Xiaorui Wang

Xiaorui Wang

The Ohio State University

Publications: 20

Cheng-Zhong Xu

Cheng-Zhong Xu

University of Macau

Publications: 19

Martin Arlitt

Martin Arlitt

Micro Focus (United Kingdom)

Publications: 18

Karsten Schwan

Karsten Schwan

Georgia Institute of Technology

Publications: 18

Guido M. Schuster

Guido M. Schuster

University of Applied Sciences Rapperswil

Publications: 17

Ikhlaq S. Sidhu

Ikhlaq S. Sidhu

University of California, Berkeley

Publications: 17

Xue Liu

Xue Liu

McGill University

Publications: 16

Rajkumar Buyya

Rajkumar Buyya

University of Melbourne

Publications: 15

James W. Seaman

James W. Seaman

IBM (United States)

Publications: 14

Andrew F. Glew

Andrew F. Glew

SiFive

Publications: 14

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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