Abstract
Software aging modeling prediction and software rejuvenation of Linux network server are studied. The momentum term and simulated annealing are added in the BP neural network to improve the convergence speed and overcome the local minimum value, by which the software aging is modeled and predicted. Meanwhile, a kind of software rejuvenation technique enhancing the reliability and usability of software system is put forward. Study results indicate that the method decreases the software disable rate and the unavailable time.
| Original language | English |
|---|---|
| Pages (from-to) | 625-629 |
| Number of pages | 5 |
| Journal | Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology |
| Volume | 27 |
| Issue number | 7 |
| Publication status | Published - Jul 2007 |
Keywords
- BP neural network
- Simulated annealing
- Software aging
- Software rejuvenation