What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Software
His primary scientific interests are in Reliability engineering, Markov chain, Software system, Stochastic Petri net and Reliability.
The various areas that Kishor S. Trivedi examines in his Reliability engineering study include Real-time computing, Software, Software rejuvenation and Software metric.
The concepts of his Markov chain study are interwoven with issues in Distributed computing, Markov process, Fault tree analysis and Artificial intelligence.
His Software system research is multidisciplinary, incorporating perspectives in Software engineering, Component and Systems engineering.
He combines subjects such as Stochastic process and Theoretical computer science with his study of Stochastic Petri net.
His Reliability research integrates issues from Fault, Fault detection and isolation, Markov reward model and State space.
His most cited work include:
- Probability and Statistics With Reliability, Queuing and Computer Science Applications (2582 citations)
- Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications (1172 citations)
- Queueing Networks and Markov Chains (770 citations)
What are the main themes of his work throughout his whole career to date?
Kishor S. Trivedi focuses on Reliability engineering, Markov chain, Markov process, Distributed computing and Stochastic Petri net.
The study incorporates disciplines such as Software system, Software rejuvenation, Software aging, Software and Reliability in addition to Reliability engineering.
His Markov chain research includes elements of Algorithm, Queueing theory, Mathematical optimization and Dependability.
His Real-time computing research extends to the thematically linked field of Markov process.
His biological study spans a wide range of topics, including Computer network, Reliability, Scalability and Cloud computing.
His research in Stochastic Petri net intersects with topics in Theoretical computer science and Process architecture.
He most often published in these fields:
- Reliability engineering (31.48%)
- Markov chain (23.61%)
- Markov process (15.47%)
What were the highlights of his more recent work (between 2014-2021)?
- Reliability engineering (31.48%)
- Distributed computing (15.20%)
- Software (11.80%)
In recent papers he was focusing on the following fields of study:
Kishor S. Trivedi mainly focuses on Reliability engineering, Distributed computing, Software, Markov chain and Software aging.
His Reliability engineering study combines topics in areas such as Software bug, Software reliability testing, Markov model, Reliability and Fault injection.
Kishor S. Trivedi has included themes like Scalability, Cloud computing, Markov process and Transient in his Distributed computing study.
In his study, Information technology is strongly linked to Fault tolerance, which falls under the umbrella field of Software.
His work carried out in the field of Markov chain brings together such families of science as Survivability, Reliability block diagram, State space and Stochastic Petri net.
He has researched Software aging in several fields, including Software rejuvenation, Failure rate and Artificial intelligence.
Between 2014 and 2021, his most popular works were:
- Performance Modeling of PBFT Consensus Process for Permissioned Blockchain Network (Hyperledger Fabric) (129 citations)
- Reliability and Availability Engineering: Modeling, Analysis, and Applications (75 citations)
- Performance Modeling of Hyperledger Fabric (Permissioned Blockchain Network) (55 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Software
The scientist’s investigation covers issues in Reliability engineering, Distributed computing, Software bug, Software and Cloud computing.
His research integrates issues of Reliability, Software reliability testing and Markov process, Markov model in his study of Reliability engineering.
His research investigates the connection between Distributed computing and topics such as Markov chain that intersect with problems in State space and Reliability block diagram.
His Software bug research is multidisciplinary, incorporating elements of Software system, Fault, Empirical research, Software quality and Software engineering.
Software aging and Software rejuvenation are among the areas of Software where he concentrates his study.
His Cloud computing research incorporates elements of Stochastic process, Communications system, Mesh networking and Sensitivity.
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