What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- The Internet
His scientific interests lie mostly in Distributed computing, Computer network, Virtual machine, Operating system and The Internet.
His Distributed computing research is multidisciplinary, incorporating elements of Scalability, Resource allocation, Workload, Cloud computing and Server.
The various areas that Prashant Shenoy examines in his Computer network study include Temporal isolation among virtual machines, Web server, Visual sensor network and Mobile wireless sensor network.
His Virtual machine research incorporates themes from Virtual servers, Virtualization, Jitter, Data center and Central processing unit.
The Internet is closely attributed to Provisioning in his study.
His work carried out in the field of Provisioning brings together such families of science as Computer cluster, Elasticity, Real-time computing, Queueing theory and Virtual reality.
His most cited work include:
- Black-box and gray-box strategies for virtual machine migration (769 citations)
- An analytical model for multi-tier internet services and its applications (540 citations)
- Agile dynamic provisioning of multi-tier Internet applications (472 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Distributed computing, Server, Computer network, Cloud computing and Real-time computing.
His biological study spans a wide range of topics, including Virtual machine, Scalability, Workload, Resource and Scheduling.
His Server study is focused on Operating system in general.
His research in Computer network intersects with topics in Wireless and The Internet.
Prashant Shenoy interconnects Computer security and Provisioning in the investigation of issues within Cloud computing.
Within one scientific family, Prashant Shenoy focuses on topics pertaining to Wireless sensor network under Real-time computing, and may sometimes address concerns connected to Key distribution in wireless sensor networks and Visual sensor network.
He most often published in these fields:
- Distributed computing (30.85%)
- Server (20.39%)
- Computer network (19.83%)
What were the highlights of his more recent work (between 2015-2021)?
- Cloud computing (18.18%)
- Distributed computing (30.85%)
- Server (20.39%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Cloud computing, Distributed computing, Server, Real-time computing and Solar energy.
The concepts of his Cloud computing study are interwoven with issues in Workload, Provisioning and Transient.
The Distributed computing study combines topics in areas such as Resource, Photovoltaic system, Edge computing and Host.
The subject of his Server research is within the realm of Computer network.
His Computer network research includes themes of Fault tolerance and The Internet.
His work deals with themes such as Schedule, Software, Analytics and Focus, which intersect with Real-time computing.
Between 2015 and 2021, his most popular works were:
- Containers and Virtual Machines at Scale: A Comparative Study (109 citations)
- Flint: batch-interactive data-intensive processing on transient servers (50 citations)
- Portfolio-driven Resource Management for Transient Cloud Servers (41 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- The Internet
The scientist’s investigation covers issues in Cloud computing, Distributed computing, Solar energy, Server and Real-time computing.
Prashant Shenoy has researched Cloud computing in several fields, including Testbed, Computer network and The Internet.
Prashant Shenoy has included themes like Event, Scalability, Information system and Cloud testing in his Computer network study.
The study incorporates disciplines such as Workload, Intelligent transportation system and Task analysis in addition to Distributed computing.
His work is dedicated to discovering how Server, Transient are connected with Preemption and Artificial neural network and other disciplines.
His Real-time computing study combines topics from a wide range of disciplines, such as Bluetooth, Wifi network, Exploit and Solar power.
This overview was generated by a machine learning system which analysed the scientist’s
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