The application belongs to the technical field of sampling scheduling, and particularly relates to a limited random sampling scheduling method and
system under a communication degradation
scenario, comprising: obtaining historical participation
record statistical parameters; expanding the capacity of an expert sampling
pool according to a historical maximum avoidance rate to determine an expansion multiple, and setting the maximum sampling round to a single round; randomly extracting a supervision sample subset from an independent supervision candidate
pool; applying an avoidance constraint
label to the candidate nodes in the expanded expert sampling
pool according to the historical participation
record, and generating a
random sequence through a concurrent safe random permutation
algorithm; sequentially screening the nodes without the avoidance constraint
label from the
random sequence, and adding them in sequence until the target number of extracted people is reached to form an expert sample subset; and aggregating the supervision sample subset and the expert sample subset to generate a sampling
result list. Thus, the problems of high networking dependence, poor constraint
adaptation, no pre-checking, poor isolation of supervision roles, and race conflicts under high
concurrency in the prior art are solved.