Download or read book Asymptotic Analysis of Network Reliability Models written by Daniel Bienstock and published by . This book was released on 1985 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Models of Network Reliability written by Ilya B. Gertsbakh and published by CRC Press. This book was released on 2016-04-19 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unique in its approach, Models of Network Reliability: Analysis, Combinatorics, and Monte Carlo provides a brief introduction to Monte Carlo methods along with a concise exposition of reliability theory ideas. From there, the text investigates a collection of principal network reliability models, such as terminal connectivity for networks with unre
Download or read book Network Reliability written by Ilya Gertsbakh and published by Springer Nature. This book was released on 2019-11-15 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This introductory book equips the reader to apply the core concepts and methods of network reliability analysis to real-life problems. It explains the modeling and critical analysis of systems and probabilistic networks, and requires only a minimal background in probability theory and computer programming. Based on the lecture notes of eight courses taught by the authors, the book is also self-contained, with no theory needed beyond the lectures. The primary focus is on essential “modus operandi,” which are illustrated in numerous examples and presented separately from the more difficult theoretical material.
Download or read book Modern Statistical and Mathematical Methods in Reliability written by Alyson G. Wilson and published by World Scientific. This book was released on 2005 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains extended versions of 28 carefully selected and reviewed papers presented at The Fourth International Conference on Mathematical Methods in Reliability in Santa Fe, New Mexico, June 21-25, 2004, the leading conference in reliability research. A broad overview of current research activities in reliability theory and its applications is provided with coverage on reliability modeling, network and system reliability, Bayesian methods, survival analysis, degradation and maintenance modeling, and software reliability. The contributors are all leading experts in the field and include the plenary session speakers, Tim Bedford, Thierry Duchesne, Henry Wynn, Vicki Bier, Edsel Pena, Michael Hamada, and Todd Graves.
Download or read book Stochastic Models in Reliability Network Security and System Safety written by Quan-Lin Li and published by Springer Nature. This book was released on 2019-10-21 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to Jinhua Cao on the occasion of his 80th birthday. Jinhua Cao is one of the most famous reliability theorists. His main contributions include: published over 100 influential scientific papers; published an interesting reliability book in Chinese in 1986, which has greatly influenced the reliability of education, academic research and engineering applications in China; initiated and organized Reliability Professional Society of China (the first part of Operations Research Society of China) since 1981. The high admiration that Professor Cao enjoys in the reliability community all over the world was witnessed by the enthusiastic response of each contributor in this book. The contributors are leading researchers with diverse research perspectives. The research areas of the book iclude a broad range of topics related to reliability models, queueing theory, manufacturing systems, supply chain finance, risk management, Markov decision processes, blockchain and so forth. The book consists of a brief Preface describing the main achievements of Professor Cao; followed by congratulations from Professors Way Kuo and Wei Wayne Li, and by Operations Research Society of China, and Reliability Professional Society of China; and further followed by 25 articles roughly grouped together. Most of the articles are written in a style understandable to a wide audience. This book is useful to anyone interested in recent developments in reliability, network security, system safety, and their stochastic modeling and analysis.
Download or read book Distributions in Stochastic Network Models written by Gurami Shalvovich T︠S︡it︠s︡iashvili and published by Nova Publishers. This book was released on 2008 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph presents important research results in the areas of queuing theory, risk theory, graph theory and reliability theory. The analysed stochastic network models are aggregated systems of elements in random environments. To construct and to analyse a large number of different stochastic network models it is possible by a proof of new analytical results and a construction of calculation algorithms besides of the application of cumbersome traditional techniques Such a constructive approach is in a prior detailed investigation of an algebraic model component and leads to an appearance of new original stochastic network models, algorithms and application to computer science and information technologies. Accuracy and asymptotic formulas, additional calculation algorithms have been constructed due to an introduction of control parameters into analysed models, a reduction of multi-dimensional problems to one dimensional problems, a comparative analysis, a graphic interpretation of network models, an investigation of new models characteristics, a choice of special distributions classes or principles of subsystems aggregation, proves of new statements.
Download or read book The Combinatorics of Network Reliability written by Charles J. Colbourn and published by Oxford University Press, USA. This book was released on 1987 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book develops combinatorial tools which are useful for reliability analysis, as demonstrated with a probabilistic network model. Basic results in combinatorial enumeration are reviewed, along with classical theorems on connectivity and cutsets. More developed analysis involves extremal set theory, matroid theory, and polyhedral combinatorics, among other themes. The presentation includes proofs or their outlines for most of the main theorems, with the aim of highlighting combinatorial ideas. Details of relevant work are presented wherever feasible. The work is intended for advanced mathematics students and computer science specialists.
Download or read book Recent Advances in Reliability Theory written by N. Limnios and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents thirty-one extensive and carefully edited chapters providing an up-to-date survey of new models and methods for reliability analysis and applications in science, engineering, and technology. The chapters contain broad coverage of the latest developments and innovative techniques in a wide range of theoretical and numerical issues in the field of statistical and probabilistic methods in reliability.
Download or read book Mathematical and Statistical Methods in Reliability written by Kjell A. Doksum and published by World Scientific. This book was released on 2003 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains extended versions of 34 carefully selected and reviewed papers presented at the Third International Conference on Mathematical Methods in Reliability, held in Trondheim, Norway in 2002. It provides a broad overview of current research activities in reliability theory and its applications. There are chapters on reliability modelling, network and system reliability, reliability optimization, survival analysis, degradation and maintenance modelling, and software reliability. The authors are all leading experts in the field. A particular feature of the book is a historical review by Professor Richard E Barlow, well known for his pioneering research on reliability. The list of authors also includes the plenary session speakers Odd O Aalen, Philip J Boland, Sallie A Keller-McNulty, and Nozer Singpurwalla. Contents: Reliability Theory in the Past and Present Centuries; General Aspects of Reliability Modelling; Reliability of Networks and Systems; Stochastic Modelling and Optimization in Reliability; Modelling in Survival and Reliability Analysis; Statistical Methods for Degradation Data; Statistical Methods for Maintained Systems; Statistical Inference in Survival Analysis; Software Reliability Methods. Readership: Graduate students, academics and professionals in probability & statistics, reliability analysis, survival analysis, industrial engineering, software engineering, operations research and applied mathematics research.
Download or read book Network Reliability written by Sanjay Kumar Chaturvedi and published by John Wiley & Sons. This book was released on 2016-06-23 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Engineering theory and applications, we think and operate in terms of logics and models with some acceptable and reasonable assumptions. The present text is aimed at providing modelling and analysis techniques for the evaluation of reliability measures (2-terminal, all-terminal, k-terminal reliability) for systems whose structure can be described in the form of a probabilistic graph. Among the several approaches of network reliability evaluation, the multiple-variable-inversion sum-of-disjoint product approach finds a well-deserved niche as it provides the reliability or unreliability expression in a most efficient and compact manner. However, it does require an efficiently enumerated minimal inputs (minimal path, spanning tree, minimal k-trees, minimal cut, minimal global-cut, minimal k-cut) depending on the desired reliability. The present book covers these two aspects in detail through the descriptions of several algorithms devised by the "reliability fraternity" and explained through solved examples to obtain and evaluate 2-terminal, k-terminal and all-terminal network reliability/unreliability measures and could be its USP. The accompanying web-based supplementary information containing modifiable Matlab® source code for the algorithms is another feature of this book. A very concerted effort has been made to keep the book ideally suitable for first course or even for a novice stepping into the area of network reliability. The mathematical treatment is kept as minimal as possible with an assumption on the readers’ side that they have basic knowledge in graph theory, probabilities laws, Boolean laws and set theory.
Download or read book Next Generation and Advanced Network Reliability Analysis written by Syed Riffat Ali and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers reliability assessment and prediction of new technologies such as next generation networks that use cloud computing, Network Function Virtualization (NVF), Software Defined Network (SDN), Next Generation Transport, Evolving Wireless Systems, Digital VoIP Telephony, and Reliability Testing techniques specific to Next Generation Networks (NGN). This book introduces the technology to the reader first, followed by advanced reliability techniques applicable to both hardware and software reliability analysis. The book covers methodologies that can predict reliability using component failure rates to system level downtimes. The book's goal is to familiarize the reader with analytical techniques, tools and methods necessary for analyzing very complex networks using very different technologies. The book lets readers quickly learn technologies behind currently evolving NGN and apply advanced Markov modeling and Software Reliability Engineering (SRE) techniques for assessing their operational reliability. Covers reliability analysis of advanced networks and provides basic mathematical tools and analysis techniques and methodology for reliability and quality assessment; Develops Markov and Software Engineering Models to predict reliability; Covers both hardware and software reliability for next generation technologies.
Download or read book Network Reliability Analysis written by Michael Owen Ball and published by . This book was released on 1977 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Network Reliability and Resilience written by Ilya Gertsbakh and published by Springer Science & Business Media. This book was released on 2011-09-05 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the probabilistic description of the behavior of a network in the process of random removal of its components (links, nodes) appearing as a result of technical failures, natural disasters or intentional attacks. It is focused on a practical approach to network reliability and resilience evaluation, based on applications of Monte Carlo methodology to numerical approximation of network combinatorial invariants, including so-called multidimensional destruction spectra. This allows to develop a probabilistic follow-up analysis of the network in the process of its gradual destruction, to identify most important network components and to develop efficient heuristic algorithms for network optimal design. Our methodology works with satisfactory accuracy and efficiency for most applications of reliability theory to real –life problems in networks.
Download or read book Advanced Reliability Modeling written by Tadashi Dohi and published by World Scientific. This book was released on 2004 with total page 645 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2004 Asian International Workshop on Advanced Reliability Modeling is a symposium for the dissemination of state-of-the-art research and the presentation of practice in reliability engineering and related issues in Asia. It brings together researchers, scientists and practitioners from Asian countries to discuss the state of research and practice in dealing with reliability issues at the system design (modeling) level, and to jointly formulate an agenda for future research in this engineering area. The proceedings cover all the key topics in reliability, maintainability and safety engineering, providing an in-depth presentation of theory and practice. The proceedings have been selected for coverage in: . OCo Index to Scientific & Technical Proceedings- (ISTP- / ISI Proceedings). OCo Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings). OCo CC Proceedings OCo Engineering & Physical Sciences."
Download or read book Network Reliability written by Daryl D Harms and published by CRC Press. This book was released on 1995-06-16 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network Reliability: Experiments with a Symbolic Algebra Environment examines two intertwined topics: computational methods for computing bounds on three measures of network reliability, and a symbolic algebra system to support these computations. It describes, in algorithmic outlines, efficient techniques for reliability bounds and discusses the implementation of the techniques. It explores all-terminal reliability, two-terminal reliability, and reliability of interconnection networks. Consistent with real-world experience, the computational environment and results are strongly supported by sound theoretical development.
Download or read book Stochastic and Dynamic Network Analytics written by Adam Meyers and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Networked systems are prevalent in both natural and engineered settings and their study and engineering have benefited many fields, including biology, healthcare, social systems, energy, manufacturing, technology, and more. Advanced sensing has begun to permeate networked systems, giving rise to torrents of data in real time. However, networked systems and their sensing data are becoming increasingly complex and thus present many challenges. Real world networks are increasing in scale and are typically dynamic in nature, while sensing data may have high dimensionality, stream rapidly, and maintain complex patterns. Methodologies that can model such networked systems and harness their big data will improve network performance and confer benefits to a variety of fields. The objective of this dissertation is to develop novel engineering aspects of complex networked systems and to realize their potential for smart capabilities. This research focuses on three key areas: resilience engineering of stochastic and dynamic networks, nonlinear analysis of multidimensional physiological signals in smart networked systems, and monitoring and control of dynamic image profiles in additive manufacturing. The key research accomplishments in this dissertation are as follows: (1) A fault-tolerance model is developed for stochastic, dynamic networks. Reliability engineering is merged with percolation theory to model stochastically-varying networks, compute quantitative reliability metrics, and permit asymptotic analysis of network behavior. (2) A methodology is developed for nonlinear analysis of multidimensional physiological signals. It enables a peer-to-peer network that visualizes and quantifies the distance between patients in terms of their cardiac electrical behavior. (3) A methodology is developed for anomaly detection in high-dimensional image streams. It is based on a novel multiplex network framework that integrates multiple image features and leverages the wavelet transform for efficient dimensionality reduction and detection of anomalies at multiple scales.
Download or read book Modeling and Analysis of Stochastic Networks written by Gurami Tsitsiashvili and published by LAP Lambert Academic Publishing. This book was released on 2010-06 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph contains authors results of a few last years in a modeling and an analysis of stochastic networks. Considered problems origin mainly in reliability and risk analysis and their applications are actual now. The monograph concerns: an estimation of queueing networks parameters, an analysis of cooperative effects in queuing networks, a construction of algorithms for a calculation of random networks reliability and ruin probabilities in classical risk models. These problems are solved by some special asymptotic and algebraic methods which allow to construct sufficiently fast and efficiency numerical algorithms. This monograph may be suggested to researchers and post graduate students who deal with queuing, reliability and risk theories and their applications.
