Name
Abstract | ||
|---|---|---|
Systems with global spares, in which a spare can replace any of multiple identical primary modules, are widely used. We present efficient algorithms for approximating the probability distribution of performance level (number of working modules) in systems with global spares and arbitrary module failure distribution. For nondegradable systems with global spares and arbitrary module failure distribution, our algorithms provide the first efficient solution for reliability. For degradable systems with global spares, our algorithms can be used to produce upper and lower bounds on various dependability measures. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/12.869326 | IEEE Trans. Computers |
Keywords | Field | DocType |
efficient solution,global spares,nondegradable system,global spare,degradable system,performance level,lower bound,dependability analysis,efficient algorithm,arbitrary module failure distribution,multiple identical primary module,probability distribution,renewal process,indexing terms,upper and lower bounds,degradation,polynomials,distribution functions,dependence analysis,graceful degradation | Dependability analysis,Dependability,Mathematical optimization,Spare part,Polynomial,Computer science,Upper and lower bounds,Real-time computing,Fault tolerance,Probability distribution,Reliability engineering | Journal |
Volume | Issue | ISSN |
49 | 9 | 0018-9340 |
Citations | PageRank | References |
1 | 0.65 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Meng-Lai Yin | 1 | 21 | 21.77 |
| Douglas M. Blough | 2 | 1393 | 143.31 |
| Lubomir Bic | 3 | 332 | 125.18 |