Resources allocation optimization algorithm based on the comprehensive utility in edge computing applications.

In the mobile edge computing environment, aiming at the problems of few classifications of resource nodes and low resource utilization in the process of multi-user and multi-server resource allocation, a resource optimization algorithm based on comprehensive utility is proposed. First, the algorithm improves the Naive Bayes algorithm, obtains the conditional probabilities of job types based on the established Naive Bayes formula and calculates the posterior probabilities of different job types under specific conditions. Second, the classification method of resource service nodes is designed.