Study on timely scheduling algorithm for load balance based on Support Vector Machine

A timely scheduling model is studied and a solution on load balance is attempted to explore from the point of machine learning in this paper. An expert system scheduling algorithm based on Support Vector Machine is presented. After research, the corresponding scheduling model is built, which is applied to the load balance of server cluster. Finally, the feasibility and validity of the algorithm is validated through experiments.