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Software Aging and Rejuvenation

  1. Kishor S. Trivedi1,
  2. Kalyanaraman Vaidyanathan2

Published Online: 14 DEC 2007

DOI: 10.1002/9780470050118.ecse394

Wiley Encyclopedia of Computer Science and Engineering

Wiley Encyclopedia of Computer Science and Engineering

How to Cite

Trivedi, K. S. and Vaidyanathan, K. 2007. Software Aging and Rejuvenation. Wiley Encyclopedia of Computer Science and Engineering. .

Author Information

  1. 1

    Duke University, Durham, North Carolina

  2. 2

    Scalable Systems Group, Sun Microsystems, Inc., San Diego, California

Publication History

  1. Published Online: 14 DEC 2007

Abstract

Several recent studies have established that most system outages are due to software faults. Given the ever-increasing complexity of software and the well-developed techniques and analysis for hardware reliability, this trend is not likely to change in the near future. In this article, we discuss the phenomenon of software aging and a preventive maintenance technique to deal with this problem called software rejuvenation. Stochastic models to evaluate the effectiveness of preventive maintenance in operational software systems and to determine optimal times to perform rejuvenation for different scenarios are described. We also present measurement-based methodologies to detect software aging and estimate its effect on various system resources. These models are intended to help develop software rejuvenation policies. An automated online measurement-based approach has been used in the software rejuvenation agent implemented in a major commercial server.

Keywords:

  • software aging;
  • preventive maintenance;
  • software rejuvenation;
  • capacity restoration;
  • analytic models