Modeling and Quantitative Analysis of Cross-Layer Resilience in Cloud Environment
Intermittent faults have randomness,and complex mechanisms and manifestations can make traditional diagnostic methods no longer effective,especially for cloud computing environments,as factors such as long-term operation,high load operation,and large cluster size make intermittent faults highly susceptible.A modeling and quantitative analysis method based on cross-layer intermittent fault propagation behavior is proposed to address this issue.This method tracks and quantitatively analyzes the evolution of intermittent fault behavior,including discovering and recording the propagation of faults at different levels in the cloud environment,constructing propagation paths,quantifying the impact of intermittent faults on structure level,firmware,super privilege,privilege,and user level,as well as comparing the impact of fault model parameters on the system,providing auxiliary diagnostic information and guidance for intermittent fault diagnosis strategies in the cloud environment.
NETL
NSTL
万方数据
