PROBLEM TO BE SOLVED: To estimate complexity of a computational resource of a Bayesian belief network (BBN) to diagnose and solve a problem. SOLUTION: A polynominal model of the computational resource required by a BBN diagnostic tool to solve the problem with specific restriction is provided. Distribution of BBN computation to a plurality of servers is efficiently managed by estimating a computational memory resource required for computation of a BBN model by applying the model. Responsiveness to servicing to a plurality of clients to request application of BBN to solve the problem is improved by such distribution of the BBN computation.
METHOD FOR ESTIMATING COMPUTATIONAL RESOURCE FOR BAYESIAN BELIEF NETWORK