The application provides an EDA platform operation and maintenance method,
system, device and readable storage medium. The method comprises the following steps: collecting infrastructure indexes, job scheduling states, EDA tool running logs and
license occupation data of an EDA computing cluster, and constructing a three-level digital twin containing a tool chain behavior model, a resource
state model and a
design process dependency model; defining an action space containing task distribution, node selection and parameter configuration, imposing a rule
mask on the action space based on EDA
engineering hard constraints, and filtering actions that violate
license quota, process
library compatibility requirements or
design process dependency logic; inputting the effective actions after the
mask into a
simulation engine, deducing the performance of the candidate scheduling strategy in the
virtual time domain, and generating
optimal scheduling instructions based on the deduction result and executing the instructions. Compared with the prior art, the application can accurately predict and avoid the noisy neighbor effect. At the same time, invalid scheduling and
deadlock are avoided.