Using performance signatures and software rejuvenation for worm mitigation in tactical MANETs
WOSP '07 Proceedings of the 6th international workshop on Software and performance
ISAS '07 Proceedings of the 4th international symposium on Service Availability
SHARPE at the age of twenty two
ACM SIGMETRICS Performance Evaluation Review
On-line adaptive algorithms in autonomic restart control
ATC'10 Proceedings of the 7th international conference on Autonomic and trusted computing
Proactive process-level live migration and back migration in HPC environments
Journal of Parallel and Distributed Computing
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We present three algorithms for detecting the need for software rejuvenation by monitoring the changing values of a customer-affecting performance metric, such as response time. Applying these algorithms can improve the values of this customer-affecting metric by triggering rejuvenation before performance degradation becomes severe. The algorithms differ in the way they gather and use sample values to arrive at a rejuvenation decision. Their effectiveness is evaluated for different sets of control parameters, including sample size, using simulation. The results show that applying the algorithms with suitable choices of control parameters can significantly improve system performance as measured by the response time.