In honor of the work of Professor Shunji Osaki, this book provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. It shows readers how to apply the theory to computer and communication systems.

In honor of the work of Professor Shunji Osaki, Stochastic Reliability and Maintenance Modeling provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. Including associated application areas such as dependable computing, performance evaluation, software engineering, communication engineering, distinguished researchers review and build on the contributions over the last four decades by Professor Shunji Osaki.Fundamental yet significant research results are presented and discussed clearly alongside new ideas and topics on stochastic reliability and maintenance modeling to inspire future research. Across 15 chapters readers gain the knowledge and understanding to apply reliability and maintenance theory to computer and communication systems. Stochastic Reliability and Maintenance Modeling is ideal for graduate students and researchers in reliability engineering, and workers, managers and engineers engaged in computer, maintenance and management works.

Collects the research of Professor Shunji Osaki and members of his school into one volume Teaches readers how to apply reliability and maintenance theory to computer and communication systems Written by internationally renowned researchers in stochastic reliability and maintenance modeling, and associated applications

Autorentext
Tadashi Dohi received the B.S.E., M.S. and Dr. of Eng. degrees from Hiroshima University, Japan, in 1989, 1991 and 1995, respectively. In 1992, he joined the Department of Industrial and Systems Engineering, Hiroshima University, Japan, as an Assistant Professor. He has been working as a Full Professor in the Department of Information Engineering, Graduate School of Engineering, Hiroshima University, Japan, since 2002. In 1992 and 2000, he was a Visiting Research Scholar in University of British Columbia, Canada and Duke University, USA, respectively, on leave of absence from Hiroshima University. His research areas include software reliability engineering, dependable computing, performance evaluation, reliability and maintenance engineering, and operations research. He is a Regular Member of ORSJ, JSIAM, IEICE, REAJ and IEEE. He published over 400 peer reviewed journal/conference papers in the above research areas. Dr. Dohi is serving as an Editorial Board Member of Asia-Pacific Journal of Operational Research,Journal of Risk and Reliability, Journal of Autonomic and Trusted Computing, International Journal of Reliability and Quality Performance, International Journal of Quality, Statistics, and Reliability, International Journal on Computer Science and Technology, etc. Dr. Dohi served as a Guest Editor of journal special issues in ACM Journal of Emerging Technologies in Computing, Communications in Statistics, Telecommunication Systems Journal, among others, and a General Chair of several international conferences such as AIWARM 2004--2008, APARM 2010--2012, WoSAR 2008-2010, MENS 2010, IEEE ISSRE 2011, IEEE UIC-ATC 2012, and as a Program Committee Member of several premium events such as IEEE ISSRE, IFIP/IEEE DSN, IEEE COMPSAC, IEEE SERE, IEEE PRDC. Toshio Nakagawa already published more than 200 papers mainly on the subject of reliability theory in research journals, and has already published under the titles of "Maintenance Theoryof Reliability" in 2005, "Shock and Damage Models in Reliability" in 2007, "Advanced Reliability Models and Optimum Policies" in 2008, and "Stochastic Processes with Applications to Reliability Theory" in 2012 from Springer. His research group in Nagoya, Japan, has continuously studied reliability theory and their applications since 1988, and has presented a large number of papers in reliability journals and at international conferences. Most papers have been written using some techniques and results of reliability and maintenance theory.

Klappentext

In honor of the work of Professor Shunji Osaki, Stochastic Reliability and Maintenance Modeling provides a comprehensive study of the legacy of and ongoing research in stochastic reliability and maintenance modeling. Including associated application areas such as dependable computing, performance evaluation, software engineering, communication engineering, distinguished researchers review and build on the contributions over the last four decades by Professor Shunji Osaki.

Fundamental yet significant research results are presented and discussed clearly alongside new ideas and topics on stochastic reliability and maintenance modeling to inspire future research. Across 15 chapters readers gain the knowledge and understanding to apply reliability and maintenance theory to computer and communication systems. Stochastic Reliability and Maintenance Modeling is ideal for graduate students and researchers in reliability engineering, and workers, managers and engineers engaged in computer, maintenance and management works.

Inhalt
1.Generalized Logit-based Proportional Hazards Models and their Applications in Survival and Reliability Analyses.- 2.Design of Reliability Test Plans: an overview.- 3.Maintenance outsourcing: issues and challenges.- 4.Warranty/Maintenance: on modelling non-zero rectification times.- 5.Repair-time Limit Replacement policies.- 6.Repair Strategies in an Uncertain Environment: stochastic game approach.- 7.Maintenance Modeling and Policies.- 8.Reliability of Systems Subjected to Imperfect Fault Coverage.- 9.Replacement and Maintenance Policies of Devices: a review.- 10. Semi-Markov Perturbed Dynamical Differential Systems and their Use in Structural Reliability.- 11.Customer-perceived Software Reliability Predictions: beyond defect prediction models.- 12.Recent Developments in Software Reliability Modeling and its Applications.- 13.Application of EM Algorithm to NHPP-based Software Reliability Assessment.- 14.Closed-form Approach for Epistemic Uncertainty Propagation in Reliability Models.- 15.Generational Garbage Collection Policies