Some Notes on Rare-Event Simulation Challenges
Armin Zimmermann, Andrés Canabal Lavista, Ricardo J. Rodríguez · 2017
Rare-event simulation methods have led to promising algorithms for the quantitative evaluation of systems which are both too complex for a numerical analysis and suffer from unacceptable simulation run times. Dependability prediction during the design of real-life size industrial systems, for instance, can benefit significantly from progress in this field. However, there are still some gaps to be filled to allow general applicability of the existing methods. This fast abstract points out open issues to promote discussion of future research directions in this field.