Some of the techniques to overcome the challenges of measuring software rejuvenation effectiveness are:
Using experiments and empirical observation to investigate aging symptoms and rejuvenation effectiveness on software systems. This technique involves creating a stress environment with an accelerated workload to induce bugs activation, waiting for the impact on the software status, and performing rejuvenation actions to observe the changes in the software internal state. This technique can help validate the proposed models and methods for software rejuvenation and evaluate their impact on the system performance and dependability.
Using stochastic models to evaluate the availability and reliability of a virtualized system with VMM software rejuvenation enabled by VM migration scheduling. This technique involves considering the aspects of workload variation, downtime, and disruption caused by rejuvenation actions, and finding the optimal VM migration schedule to maximize system availability and reliability. This technique can help analyze the trade-offs and objectives of different scenarios and applications for software rejuvenation.
Using measurement-based methodologies to detect and estimate software aging and its effects on system resources. This technique involves using online or offline methods to monitor and measure the resource usage, error rates, response times, etc. of the software system or application, and using statistical or machine learning techniques to identify and predict the signs of software aging. This technique can help determine the optimal times or methods to perform software rejuvenation based on the specific goals and constraints.