Adaptive Software Rejuvenation: Degradation Model and Rejuvenation Scheme

Published

Journal Article

We present a framework of adaptive estimation and rejuvenation of software system performance in the presence of aging sources. The framework specifies that a degradation model not only describe an aging process but also enable the adaptation of model-based performance estimates to online measurements of data pertaining to the aging process. The adaptive estimation uses model-based a priori estimation and obtains a posteriori estimation based on the data measurements. With the adaptive estimation, the rejuvenation policy determines the time epochs for data collection and rejuvenation according to system dynamics. In the specific context of resource leaks previously assumed to lead to aging, we present a non-homogeneous Markov model to explicitly establish a connection between resource leaks and the failure rate. We demonstrate an increasing failure rate in the presence of resource leaks.

Duke Authors

Cited Authors

  • Bao, Y; Sun, X; Trivedi, KS

Published Date

  • December 1, 2003

Published In

  • Proceedings of the International Conference on Dependable Systems and Networks

Start / End Page

  • 241 - 248

Citation Source

  • Scopus