The invention relates to the technical field of computer and
machine learning, and discloses a
computer network information service management method and
system based on a cloud technology. The method comprises the following steps: acquiring indexes during service operation, and constructing a dynamic service dependency
topological graph; extracting a multi-dimensional
state vector, inputting the multi-dimensional
state vector into the graph neural
network model, and calculating an abnormal propagation influence
score; reversely deriving a fault
root cause in combination with a
fault propagation attenuation rule; matching the standardized self-healing action
template library, performing priority
ranking according to the service key level, the influence range and the action risk, and generating an execution instruction; the self-healing operation is automatically executed through a cloud platform arrangement engine, and the effect is verified in a
closed loop mode. The
system comprises an index acquisition module, a
topology construction module, a state coding module, an anomaly analysis module, a
root cause derivation module, a strategy matching module, a decision and execution feedback module and the like. According to the
system, accurate positioning and safe self-healing of micro-service faults are realized, and the availability and
toughness of a cloud native system are remarkably improved.