A Statistical Model for Detecting Abnormality in Static-Priority Scheduling Networks with Differentiated Services

摘要

This paper presents a new statistical model for detecting signs of abnormality in static-priority scheduling networks with differentiated services at connection levels on a class-by-class basis. The formulas in terms of detection probability, miss probability, probabilities of classifications, and detection threshold are proposed.