Simulation-Based Dependability Analysis of Systems in Multiple Time-Horizons

When designing and operating any technical system, it is essential to take into account the possible faults that may occur during its operation. Dependability analysis lets us determine the level of redundancy that ensures continuity of service at an economically justified level of assurance. The analysis tends to underemphasize the extremely improbable, simultaneous failures of all or almost all system components. Yet, these situations should not be ignored as their consequences are often disastrous. The use of straightforward simulation in this case is very difficult—there is a huge disparity between the timescales of occurrence of the various types of events (connected with system functioning, fault occurrence and catastrophic breakdowns). The paper presents some experience with applying a unified simulation approach to deal with these multiple time-horizons. The usefulness of the proposed approach is demonstrated in two test studies: a discrete transport system and a web based information system.

[1]  Louis Anthony Cox,et al.  What's Wrong with Risk Matrices? , 2008, Risk analysis : an official publication of the Society for Risk Analysis.

[2]  T. Walkowiak,et al.  Simulation based availability assessment of services provided by web applications with realistic repair time , 2014 .

[3]  J. Talbot,et al.  Security Risk Management Body of Knowledge , 2009 .

[4]  Tomasz Walkowiak,et al.  Human Resource Influence on Dependability of Discrete Transportation Systems , 2011 .

[5]  Miles Jakeman,et al.  Security Risk Management , 2009 .

[6]  Tomasz Walkowiak,et al.  Preserving Continuity of Services Exposed to Security Incidents , 2012, SECURWARE 2012.

[7]  Richard E. Barlow,et al.  Engineering reliability , 1987 .

[8]  Brian Randell,et al.  Fundamental Concepts of Dependability , 2000 .

[9]  Tomasz Walkowiak,et al.  Functional Based Reliability Analysis of Web Based Information Systems , 2011 .

[10]  Tomasz Walkowiak,et al.  Reliability Analysis of Discrete Transportation Systems Using Critical States , 2013, DepCoS-RELCOMEX.

[11]  S. Kaplan,et al.  On The Quantitative Definition of Risk , 1981 .

[12]  Bent Flyvbjerg,et al.  From Nobel Prize to Project Management: Getting Risks Right , 2006, ArXiv.

[13]  Tomasz Walkowiak,et al.  Functional availability analysis of discrete transport system simulated by SSF tool , 2010, Int. J. Crit. Comput. Based Syst..

[14]  Tomasz Walkowiak,et al.  Risk Assessment of Web Based Services , 2015, DepCoS-RELCOMEX.

[15]  Tomasz Walkowiak,et al.  Risk analysis applied to discrete transportation systems , 2011 .