Design And Implementation Of Enterprise Service Platform In Industrial Park

The industrial park plays an important role in the process of social and economic development.However,the construction of the original park information still exists a lot of problems.To solve these problems,this paper designs a set of enterprise service platform based on cloud technology,with the industry's most mature software service architecture(SOA),coupling weakening software of each functional module,the introduction of workflow technology to achieve business process graphical,convenient and humanized.The platform covers the management function of the original park information,and can provide the service for the enterprise information construction.A computing task scheduling algorithm based on cloud quantum particle swarm is proposed in this paper,the existing cloud resource scheduling algorithm to optimize the management,improve the efficiency of resource scheduling.This paper includes four parts as follows:First,a brief analysis of the background and significance of the research,to explain the reasons for selecting platform technology from the view of software engineering application,and the key technology of cloud computing for theoretical analysis.Second,study the core idea of cloud computing technology,design purposes and methods to find out the advantages and disadvantages.Through the analysis of the technical framework of the cloud,the cloud computing environment resource scheduling and resource utilization of the existing problems,provides a computing task scheduling algorithm based on quantum particle swarm optimization algorithm based on cloud computing,can make full use of cloud physical resources,effectively solve the problem of low utilization rate of resources.Third,detailed analysis of enterprise service platform functional requirements,platform function structure and platform business data flow.Based on the detailed analysis of the demand function platform,a comprehensive analysis of the design of enterprises in the park service platform,describes the overall design and database platform design platform,principle analysis and algorithm optimization of cloud resource scheduling key.Fourthly,experiments on the platform resource scheduling optimization in PC environment are carried out to verify the feasibility and effectiveness of the proposed algorithm.