Expected Time for Obtaining Dependable Data in Real-Time Environment

Yu, Yongji; Ren, Shangping

doi:10.1109/ipdps.2007.370343

Cited by 2 publications

(1 citation statement)

References 17 publications

(20 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As argued in [16], in some distributed embedded applications (e.g., distributed voting in sensor networks), the probabilistic timing behavior of a group of events can be derived from those of individual events. This allows us to study the interval based timing constraints between multiple groups of events which raises the granularity of analyses and reduces the complexity to a great extent.…”

mentioning

confidence: 99%

Prediction of Timing Constraint Violation for Real-Time Embedded Systems with Known Transient Hardware Failure Distribution Model

Ren

2006

2006 27th IEEE International Real-Time Systems Symposium (RTSS'06)

Self Cite

View full text Add to dashboard Cite

We apply interval-based timing constraint satisfaction probability results to predict timing constraint violations in real-time embedded system with a known hardware transient failure model. A previous study indicated that hardware transient failures follow a Poisson distribution with an average failure arrival rate λ. Under this model, the distribution of time intervals between successive failures follows an exponential distribution with the same parameter λ. Our goal is to use the statistical transient failure models to calculate the earliest time at which we can predict, with a determined level of confidence, that a given timing constraint may be violated. This earlier prediction provides time-critical systems with valuable time before the deadline is reached to adapt themselves, and hence, to minimize possible negative impacts caused by timing constraint violations.

show abstract

mentioning

confidence: 99%