Dynamic aspects and behaviors of complex systems in performance and reliability assessment

Reliability and performance evaluation are important, often mandatory, steps in designing and analyzing (critical) systems. In such cases, accurate models are required to adequately take into account interference or dependent behaviors affecting the system, its parts and the external environment, especially if the system experiences high complexity. The techniques and tools to adopt in the evaluation have to adequately fit the problem considered. The main goal of this paper is to identify the dynamic-dependent aspects that can affect the reliability and performance of a system. Starting from the concept of dependence at the basis of system decomposition, an analytic framework and some of the most important dynamic-dependent aspects and behaviors are characterized in terms of both dynamic reliability and performance.

[1]  Vitali Volovoi,et al.  Modeling of system reliability Petri nets with aging tokens , 2004, Reliab. Eng. Syst. Saf..

[2]  Michael K. Molloy.  Performance Analysis Using Stochastic Petri Nets , 1982, IEEE Transactions on Computers.

[3]  Kishor S. Trivedi,et al.  Performance and Reliability Analysis of Computer Systems: An Example-Based Approach Using the SHARPE Software Package , 2012 .

[4]  Arndt Bode,et al.  OpenSESAME - the simple but extensive, structured availability modeling environment , 2008, Reliab. Eng. Syst. Saf..

[5]  Maxim Finkelstein,et al.  Failure Rate Modelling for Reliability and Risk , 2008 .

[6]  Marc Bouissou,et al.  A new formalism that combines advantages of fault-trees and Markov models: Boolean logic driven Markov processes , 2003, Reliab. Eng. Syst. Saf..

[7]  N. Limnios,et al.  Semi-Markov Processes and Reliability , 2012 .

[8]  Marvin Rausand,et al.  System Reliability Theory: Models, Statistical Methods, and Applications , 2003 .

[9]  Kishor S. Trivedi.  SHARPE 2002: Symbolic Hierarchical Automated Reliability and Performance Evaluator , 2002, Proceedings International Conference on Dependable Systems and Networks.

[10]  Giuliana Franceschinis,et al.  Parametric Fault Tree for the Dependability Analysis of Redundant Systems and Its High-Level Petri Net Semantics , 2003, IEEE Trans. Software Eng..

[11]  Arch W. Naylor,et al.  On Decomposition Theory: Generalized Dependence , 1981, IEEE Transactions on Systems, Man, and Cybernetics.

[12]  Terry Williams,et al.  Probability and Statistics with Reliability, Queueing and Computer Science Applications , 1983 .

[13]  Carl E. Landwehr,et al.  Basic concepts and taxonomy of dependable and secure computing , 2004, IEEE Transactions on Dependable and Secure Computing.

[14]  Eric R. Ziegel,et al.  System Reliability Theory: Models, Statistical Methods, and Applications , 2004, Technometrics.

[15]  Marvin Zelen,et al.  Mathematical Theory of Reliability , 1965 .

[16]  William H. Sanders,et al.  The Mobius modeling tool , 2001, Proceedings 9th International Workshop on Petri Nets and Performance Models.

[17]  Salvatore Distefano,et al.  How to capture dynamic behaviours of dependable systems , 2009, Int. J. Parallel Emergent Distributed Syst..

[18]  Miklós Telek,et al.  Fluid Models in Performance Analysis , 2007, SFM.

[19]  Myron Hlynka,et al.  Queueing Networks and Markov Chains (Modeling and Performance Evaluation With Computer Science Applications) , 2007, Technometrics.

[20]  Marco Ajmone Marsan,et al.  Modelling with Generalized Stochastic Petri Nets , 1995, PERV.

[21]  Kerstin Buchacker,et al.  Modeling with extended fault trees , 2000, Proceedings. Fifth IEEE International Symposium on High Assurance Systems Engineering (HASE 2000).

[22]  Rada Y. Chirkova,et al.  Queuing Systems , 2018, Encyclopedia of Database Systems.

[23]  Kishor S. Trivedi,et al.  Performance And Reliability Analysis Of Computer Systems (an Example-based Approach Using The Sharpe Software , 1997, IEEE Transactions on Reliability.

[24]  S. Rahman.  Reliability Engineering and System Safety , 2011 .

[25]  W E Vesely,et al.  Fault Tree Handbook , 1987 .

[26]  Jane Hillston,et al.  A compositional approach to performance modelling , 1996 .

[27]  Gunter Bolch,et al.  Queueing Networks and Markov Chains - Modeling and Performance Evaluation with Computer Science Applications, Second Edition , 1998 .

[28]  Alexander Backlund.  The definition of system , 2000 .

[29]  Mark Allen Boyd.  Dynamic fault tree models: techniques for analysis of advanced fault tolerant computer systems , 1992 .

[30]  Kishor S. Trivedi.  Probability and Statistics with Reliability, Queuing, and Computer Science Applications , 1984 .

[31]  Salvatore J. Bavuso,et al.  Dynamic fault-tree models for fault-tolerant computer systems , 1992 .

[32]  William Feller,et al.  An Introduction to Probability Theory and Its Applications , 1951 .

[33]  V. Volovoi.  Modeling of System Reliability Using Petri Nets with Aging Tokens , 2004 .

[34]  Giuseppe Serazzi,et al.  Geometric Bounds: A Noniterative Analysis Technique for Closed Queueing Networks , 2008, IEEE Transactions on Computers.

[35]  Gunter Bolch,et al.  Queueing Networks and Markov Chains , 2005 .

[36]  Martin L. Shooman,et al.  Reliability of Computer Systems and Networks: Fault Tolerance,Analysis,and Design , 2002 .

[37]  Yuan-Shun Dai,et al.  Computing systems reliability - models and analysis , 2004 .

[38]  Edward D. Lazowska,et al.  Quantitative system performance - computer system analysis using queueing network models , 1983, Int. CMG Conference.

[39]  M. Finkelstein.  Wearing-out of components in a variable environment , 1999 .

[40]  Enrico Zio,et al.  Basics of the Monte Carlo Method with Application to System Reliability , 2002 .

[41]  Antonio Puliafito,et al.  Dependability Evaluation with Dynamic Reliability Block Diagrams and Dynamic Fault Trees , 2009, IEEE Transactions on Dependable and Secure Computing.

[42]  Luigi Portinale,et al.  Automatically translating dynamic fault trees into dynamic Bayesian networks by means of a software tool , 2006, First International Conference on Availability, Reliability and Security (ARES'06).

[43]  J. S. Jordan,et al.  Systems theories and a priori aspects of perception , 1998 .

[44]  S. Krippner,et al.  Chapter 3 - Systems Theories: Their Origins, Foundations, and development , 1998 .