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Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule

Published: 18 December 2000 Publication History

Abstract

In this paper, we extend the classical result by Huang, Kintala, Kolettis and Fulton (1995), and in addition propose a modified stochastic model to determine the software rejuvenation schedule. More precisely, the software rejuvenation models are formulated via the semi-Markov processes, and the optimal software rejuvenation schedules which maximize the system availabilities are derived analytically for respective cases. Further, we develop nonparametric statistical algorithms to estimate the optimal software rejuvenation schedules, provided that the statistical complete (unsensored) sample data of failure times is given. In numerical examples, we examine asymptotic properties for the statistical estimation algorithms.

Cited By

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  • (2018)Models for availability and power consumption evaluation of a private cloud with VMM rejuvenation enabled by VM Live MigrationThe Journal of Supercomputing10.1007/s11227-018-2485-474:9(4817-4841)Online publication date: 1-Sep-2018
  • (2014)Software rejuvenation scheduling using accelerated life testingACM Journal on Emerging Technologies in Computing Systems10.1145/253911810:1(1-23)Online publication date: 13-Jan-2014
  • (2010)Architecting dependable systems with proactive fault managementArchitecting dependable systems VII10.5555/1985596.1985607(171-200)Online publication date: 1-Jan-2010
  • Show More Cited By

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cover image Guide Proceedings
PRDC '00: Proceedings of the 2000 Pacific Rim International Symposium on Dependable Computing
December 2000
ISBN:0769509754

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IEEE Computer Society

United States

Publication History

Published: 18 December 2000

Author Tags

  1. nonparametric statistical algorithms
  2. nonparametric statistics
  3. optimal software rejuvenation
  4. semi-Markov processes
  5. software maintenance
  6. software rejuvenation
  7. software reliability
  8. statistical estimation

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Cited By

View all
  • (2018)Models for availability and power consumption evaluation of a private cloud with VMM rejuvenation enabled by VM Live MigrationThe Journal of Supercomputing10.1007/s11227-018-2485-474:9(4817-4841)Online publication date: 1-Sep-2018
  • (2014)Software rejuvenation scheduling using accelerated life testingACM Journal on Emerging Technologies in Computing Systems10.1145/253911810:1(1-23)Online publication date: 13-Jan-2014
  • (2010)Architecting dependable systems with proactive fault managementArchitecting dependable systems VII10.5555/1985596.1985607(171-200)Online publication date: 1-Jan-2010
  • (2008)Achieving and assuring high availabilityProceedings of the 5th international conference on Service availability10.5555/1788594.1788600(20-25)Online publication date: 19-May-2008
  • (2007)Managing performance of aging applications via synchronized replica rejuvenationProceedings of the Distributed systems: operations and management 18th IFIP/IEEE international conference on Managing virtualization of networks and services10.5555/1783374.1783386(98-109)Online publication date: 29-Oct-2007
  • (2007)Ensuring system performance for cluster and single server systemsJournal of Systems and Software10.1016/j.jss.2006.07.02080:4(441-454)Online publication date: 1-Apr-2007
  • (2006)Model based approach for autonomic availability managementProceedings of the Third international conference on Service Availability10.1007/11955498_1(1-16)Online publication date: 15-May-2006
  • (2005)Ensuring stable performance for systems that degradeProceedings of the 5th international workshop on Software and performance10.1145/1071021.1071026(43-51)Online publication date: 12-Jul-2005
  • (2005)A Comprehensive Model for Software RejuvenationIEEE Transactions on Dependable and Secure Computing10.1109/TDSC.2005.152:2(124-137)Online publication date: 1-Apr-2005

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