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.
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