This invention provides a parallel I / O write consistency guarantee method based on state preheating, belonging to the field of
computer technology. This invention collects the I / O operation
timestamp sequence of MPI processes and the inter-
process communication topology, and uses a
risk assessment model fused with temporal causal
convolution and graph attention to output risk scores for each variable's write operation. It then uses an adaptive preheating timing
estimation algorithm based on a
queuing network to calculate the expected
completion time variance of the I / O path, determining whether to trigger the preheating process. Finally, it uses a preheating intensity adjustment function to fuse the risk scores, MPI process size, and historical write success rate, triggering policy upgrades and retrying when deviations are detected. The execution results are updated with
reinforcement learning reward signals to update the parameters of the
artificial intelligence model and the weights of the
policy decision model, achieving closed-loop adaptive adjustment. This solves the technical problem that parallel I / O write consistency guarantee mechanisms cannot adaptively adjust the synchronization strategy strength according to the real-
time system load status and the risk of abnormal propagation between processes.