2023 - Research.com Computer Science in United States Leader Award
2008 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For pioneering contributions to the understanding of the phenomena of software aging and software rejuvenation
1992 - IEEE Fellow For contributions to reliability and performance analysis of computer and communication systems
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.
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.
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.
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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Probability and Statistics With Reliability, Queuing and Computer Science Applications
Kishar Shridharbhai Trivedi.
Queueing Networks and Markov Chains: Modeling and Performance Evaluation with Computer Science Applications
Gunter Bolch;Stefan Greiner;Hermann de Meer;Kishor S. Trivedi.
Queueing Networks and Markov Chains
Gunter Bolch;Stefan Greiner;Hermann de Meer;Kishor Shridharbhai Trivedi.
Performance and Reliability Analysis of Computer Systems: An Example-Based Approach Using the SHARPE Software Package
Robin A. Sahner;Kishor Trivedi;Antonio Puliafito.
Performance and Reliability Analysis of Computer Systems: An Example-Based Approach Using the SHARPE Software Package (2012)
SPNP: stochastic Petri net package
G. Ciardo;J. Muppala;K. Trivedi.
international workshop on petri nets and performance models (1989)
Performance And Reliability Analysis Of Computer Systems (an Example-based Approach Using The Sharpe Software
R. Sahner;K.S. Trivedi;A. Puliafito.
IEEE Transactions on Reliability (1997)
Model-based evaluation: from dependability to security
D.M. Nicol;W.H. Sanders;K.S. Trivedi.
IEEE Transactions on Dependable and Secure Computing (2004)
Architecture-based approach to reliability assessment of software systems
Katerina Goševa-Popstojanova;Kishor S Trivedi.
Performance Evaluation (2001)
Proactive management of software aging
V. Castelli;R. E. Harper;P. Heidelberger;S. W. Hunter.
Ibm Journal of Research and Development (2001)
Performance and Reliability Analysis of Computer Systems
Robin Sahner;Kishor S. Trivedi;Antonio Puliafito.
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