Software Reliability and Rejuvenation: Modeling and Analysis
Performance Evaluation of Complex Systems: Techniques and Tools, Performance 2002, Tutorial Lectures
A Comprehensive Model for Software Rejuvenation
IEEE Transactions on Dependable and Secure Computing
Ensuring stable performance for systems that degrade
Proceedings of the 5th international workshop on Software and performance
Performability analysis of clustered systems with rejuvenation under varying workload
Performance Evaluation
Ensuring system performance for cluster and single server systems
Journal of Systems and Software
Managing performance of aging applications via synchronized replica rejuvenation
DSOM'07 Proceedings of the Distributed systems: operations and management 18th IFIP/IEEE international conference on Managing virtualization of networks and services
Achieving and assuring high availability
ISAS'08 Proceedings of the 5th international conference on Service availability
Methods and opportunities for rejuvenation in aging distributed software systems
Journal of Systems and Software
Architecting dependable systems with proactive fault management
Architecting dependable systems VII
Prediction-Based software availability enhancement
Self-star Properties in Complex Information Systems
Model based approach for autonomic availability management
ISAS'06 Proceedings of the Third international conference on Service Availability
A proactive approach towards always-on availability in broadband cable networks
Computer Communications
A comparative experimental study of software rejuvenation overhead
Performance Evaluation
How does testing affect the availability of aging software systems?
Performance Evaluation
Software rejuvenation scheduling using accelerated life testing
ACM Journal on Emerging Technologies in Computing Systems (JETC) - Special Issue on Reliability and Device Degradation in Emerging Technologies and Special Issue on WoSAR 2011
A comprehensive approach to optimal software rejuvenation
Performance Evaluation
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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.