Name
Abstract | ||
|---|---|---|
Intermittent hardware faults are bursts of errors that last from a few CPU cycles to a few seconds. They are caused by process variations, circuit wear-out, and temperature, clock or voltage fluctuations. Recent studies show that intermittent fault rates are increasing due to technology scaling and are likely to be a significant concern in future systems. We study the propagation of intermittent faults to programs; in particular, we are interested in the crash behaviour of programs. We use a model of a program that represents the data dependencies in a fault-free trace of the program and we analyze this model to glean some information about the length of intermittent faults and their effect on the program under specific fault and crash models. The results of our study can aid fault detection, diagnosis and recovery techniques. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/DSNW.2010.5542613 | Dependable Systems and Networks Workshops |
Keywords | Field | DocType |
crash model,intermittent hardware fault,cpu cycle,specific fault,recent study,circuit wear-out,crash behaviour,intermittent fault rate,intermittent fault,fault detection,process variation,registers,computational modeling,predictive models | Crash,Data dependency,Technology scaling,Computer science,Fault detection and isolation,Voltage,Real-time computing,Intermittent fault,Process variation,Computer hardware,Instruction cycle | Conference |
ISBN | Citations | PageRank |
978-1-4244-7728-9 | 6 | 0.44 |
References | Authors | |
10 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Layali Rashid | 1 | 39 | 3.41 |
| Karthik Pattabiraman | 2 | 1030 | 55.17 |
| Sathish Gopalakrishnan | 3 | 426 | 33.10 |