Nederlands
Contact
Search
OrganisationEEMCS EPrints Service
 |
|
|
||||||||||||||||||||||||||||||||||||
|
|
|
|
|
||||||||||||||||||||||||||||||||||
|
|
|
||||||||||||||||||||||||||||||||||||
|
|
|
|
|
||||||||||||||||||||||||||||||||||
|
|
Reijsbergen, D.P. and de Boer, P.T. and Scheinhardt, W.R.W. and Haverkort, B.R.H.M.
(2010)
Rare event simulation for highly dependable systems with fast repairs.
In: Proceedings of the Seventh International Conference on Quantitative Evaluation of SysTems (QEST) 2010, 15-18 Sep 2010, Williamsburg, Virginia.
pp. 251-260.
IEEE Press.
ISBN 978-1-4244-8082-1
Full text available as:
Official URL: http://dx.doi.org/10.1109/QEST.2010.39  AbstractStochastic model checking has been used recently to assess, among others, dependability measures for a variety of systems. However, the employed numerical methods, as, e.g., supported by model checking tools such as PRISM and MRMC, suffer from the state-space explosion problem. The main alternative is statistical model checking, which uses standard simulation, but this performs poorly when small probabilities need to be estimated. Therefore, we propose a method based on importance sampling to speed up the simulation process in cases where the failure probabilities are small due to the high speed of the system's repair units. This setting arises naturally in Markovian models of highly dependable systems. We show that our method compares favourably to standard simulation, to existing importance sampling techniques and to the numerical techniques of PRISM.
Export this item as: To correct this item please ask your editor Repository Staff Only: edit this item |
|
|
||||||||||||||||||||||||||||||||||
|
|
|
||||||||||||||||||||||||||||||||||||
|
|
|
|
|
||||||||||||||||||||||||||||||||||
|
|
|
||||||||||||||||||||||||||||||||||||
