Sources of Variation in Error Sensitivity Measurements, Significant or Not?
| Autor: | Fatemeh Ayatolahi, Johan Karlsson |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
010302 applied physics
Computer science Conditional probability Workload 02 engineering and technology Fault injection 01 natural sciences Electronic mail 020202 computer hardware & architecture 0103 physical sciences Statistics 0202 electrical engineering electronic engineering information engineering Measurement uncertainty Dependability Sensitivity (control systems) Statistical hypothesis testing |
| Zdroj: | DSN Workshops |
| Popis: | Measuring the error sensitivity by fault injection is an important method for assessing the dependability of computer systems. In this paper, we define error sensitivity as the conditional probability that a hardware-related error causes a silent data corruption. When measuring the error sensitivity it is important to consider how the experimental setup and the workload characteristics affect the estimated error sensitivity. We consider five such potential sources of variation (PSVs) in this paper. Three of these are related to the workload: i) input profile, ii) source code implementation, and, iii) use of compiler optimization. Two are related to the experimental setup: i) single vs. double bit-flips, and ii) inject-on-read vs. inject-on-write. The paper discusses the applicability of different statistical tests for assessing whether a PSV has a significant impact on error sensitivity. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|