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Dependability of Networked Computer-based Systems de Ajit Kumar Verma

Dependability of Networked Computer-based Systems: Springer Series in Reliability Engineering

Autor Ajit Kumar Verma, Srividya Ajit, Manoj Kumar
en Limba Engleză Hardback – 21 iul 2011
The measurement of dependability attributes on real systems is a very time-consuming and costly affair, making analytical or simulation modeling the only viable solutions. Dependability of Networked Computer-based Systems explores reliability, availability and safety modeling of networked computer-based systems used in life-critical applications such as avionics, nuclear power plants, automobiles and chemical process industries.
Dependability of Networked Computer-based Systems gives an overview of basic dependability modeling concepts and addresses new challenges in dependability modeling of networked computer-based systems, as well as new trends, their capabilities and limitations. It covers a variety of dependability modeling methods:
  • stochastic processes,
  • Markov and semi-Markov models,
  • response-time distribution,
  • stochastic Petri-net-based modeling formalisms, and
  • Monte Carlo simulation models.
Dependability of Networked Computer-based Systems provides students and researchers with a detailed overview of dependability models and analysis techniques. Practicing engineers will also find this text a useful guide to decision-making based on system dependability at the design, operation and maintenance stages.
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Specificații

ISBN-13: 9780857293176
ISBN-10: 0857293176
Pagini: 220
Ilustrații: XVIII, 202 p.
Dimensiuni: 160 x 241 x 16 mm
Greutate: 0.45 kg
Ediția:2011
Editura: Springer
Colecția Springer Series in Reliability Engineering
Seria Springer Series in Reliability Engineering

Locul publicării:London, United Kingdom

Public țintă

Research

Cuprins

1. Introduction.- 2. Probability Theory.- 3. Stochastic Processes and Models.- 4. Dependability Models of Computer-based Systems.- 5 Network Technologies for Real-time systems.- 6. Response-time Models and Timeliness Hazard Rate.- 7. Dependability of Networked Computer-based Systems.

Notă biografică

Dr Sachin Kumar is Assistant Professor of Computer Science at Cluster Innovation Centre (CIC), University of Delhi (UoD), Delhi, India. He is also an executive officer of the University of Delhi Foundation, an endowment fund section 8, not-for-profit company of UoD. He has been awarded a PhD degree from the Department of Computer Science, University of Delhi(UoD) on a thesis titled "Modeling and Prediction of Building Energy Performance Using Machine Learning Approaches". His research work has been published in the domain of intelligent information systems, urban computing and smart systems reputed international high-impact factor SCI/SCIE/Scopus journals and conferences such as Energy and Buildings (Elsevier, IF=7.6), Sustainable Cities and Societies (Elsevier, IF=10.5), Sustainable Energy, Grids and Networks (Elsevier, IF=5.6). His thesis primarily focuses on developing models for energy performance optimization through modelling and prediction of energy usage toimprove energy conservation in residential and commercial buildings in order to achieve the goal of sustainable cities and societies to contribute to Sustainable Development Goals (SDGs). He secured several placement offers during MCA and after completion served as a software development engineer(SDE) with IHS Markit Information Mosaic, United Kingdom(UK). He is offering courses and supervising research and development in the area of Artificial Intelligence/Machine Learning/Deep Learning, Industry 4.0, Digital Transformation and Governance, Smart Cities, Urban Computing, Information Systems and Computational Social Systems. He has published more than 25 peer review research publications in high-impact factor SCI/SCIE/Scopus-indexed journals and conferences. He has also written a book on operating systems titled "Operating Systems: Concept Building and Problem Solving Approach'' published by Cengage Publication, USA. He has participated in and demonstrated his research works at domain-specific several highly reputed international conferences such as IEEE-ELM, ISTA, ISDA, IEEE-WCCI, IEEE-IJCNN, ACM-ICEGOV, etc. He has been invited as a resource person to many conferences, faculty development programs (FDPs), refresher courses, and workshops to share his knowledge and expertise. His main thrust is to develop technological artefacts to solve societal problems with the application of technology and specifically Artificial Intelligence/Machine Learning, Big data analytics and their deployment in a real-world environment. He also writes on technology and social issues in national newspapers and news web portals and creates digital content for creating awareness about technology and social issues on the youtube channel "Professor and Mentor". He has been continuously providing his consultations to corporations and startups. He is also promoting interdisciplinary research, innovation, and entrepreneurship, through project-driven pedagogy, research publication outputs, and startup promotion. Prof. Ajit Kumar Verma is a Professor in the Faculty of Technology, Environmental and Social Sciences, Western Norway University of Applied Sciences, Haugesund, Norway (since 2012) and was a Professor/ Senior( HAG) scale Professor for around 15 years with the Reliability Engg/Department of Electrical Engineering at IIT Bombay with a research focus in RAMS, Risk & Safety Engineering, Computational Intelligence applications in various domains. He was awarded (2017) 'Honorary Professor' at Amity University, India and also a Life Time Achievement award at IIT Madras by SRESA. He has supervised/co-supervised 39 PhDs and over 100 Masters theses( IITB; HVL,Norway; Univ.of Gåvle,Sweden; LJM Univ,UK; WMG, Warwick Univ, UK) in the area of Electronic Systems Reliability, Software Reliability, Reliable Computing, Power Systems Reliability, Reliability Centred Maintenance , Soft Computing in RAMS for Complex Engineering Systems and Probabilistic Safety/Risk Assessment in power plant

Textul de pe ultima copertă

The measurement of dependability attributes on real systems is a very time-consuming and costly affair, making analytical or simulation modeling the only viable solutions. Dependability of Networked Computer-based Systems explores reliability, availability and safety modeling of networked computer-based systems used in life-critical applications such as avionics, nuclear power plants, automobiles and chemical process industries.
Dependability of Networked Computer-based Systems gives an overview of basic dependability modeling concepts and addresses new challenges in dependability modeling of networked computer-based systems, as well as new trends, their capabilities and limitations. It covers a variety of dependability modeling methods:
  • stochastic processes,
  • Markov and semi-Markov models,
  • response-time distribution,
  • stochastic Petri-net-based modeling formalisms, and
  • Monte Carlo simulation models.
Dependability of Networked Computer-based Systems provides students and researchers with a detailed overview of dependability models and analysis techniques. Practicing engineers will also find this text a useful guide to decision-making based on system dependability at the design, operation and maintenance stages.