Study on Cloud Resource Scheduling Problem Based on Logistics Park Distribution System

On logistics distribution system in the mass data processing request, for the clouds in response to customer demand, resource scheduling problem is studied and improved the effectiveness of resource scheduling. Logistics park distribution system is thought as a programmed responding virtual network, cloud node as a knowledge node, the logistics system provider of warehouse, vehicles, customer information and demand composition. By constructing a cloud network topology and analyzing system for resource scheduling method, the utility function model based on responding to customer satisfaction requirements which represent that degree of satisfaction is shown by return surplus capital to meet the needs of customer maximizing. Genetic algorithm is used to optimize the model solving, and introduce the entropy weight method to calculate the total utility. In the last, the example shows the model is effective and feasible.