Estimating Periodic Software Rejuvenation Schedules under Discrete-Time Operation Circumstance

Kazuki IWAMOTO  Tadashi DOHI  Naoto KAIO  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E91-D   No.1   pp.23-31
Publication Date: 2008/01/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e91-d.1.23
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Dependable Computing
Keyword: 
rejuvenation,  software aging,  periodic preventive maintenance,  expected cost,  discrete-time models,  non-parametric algorithms,  

Full Text: PDF(438.1KB)>>
Buy this Article




Summary: 
Software rejuvenation is a preventive and proactive solution that is particularly useful for counteracting the phenomenon of software aging. In this article, we consider periodic software rejuvenation models based on the expected cost per unit time in the steady state under discrete-time operation circumstance. By applying the discrete renewal reward processes, we describe the stochastic behavior of a telecommunication billing application with a degradation mode, and determine the optimal periodic software rejuvenation schedule minimizing the expected cost. Similar to the earlier work by the same authors, we develop a statistically non-parametric algorithm to estimate the optimal software rejuvenation schedule, by applying the discrete total time on test concept. Numerical examples are presented to estimate the optimal software rejuvenation schedules from the simulation data. We discuss the asymptotic behavior of estimators developed in this paper.