Research on Resource Optimization of Big Data Business Process in Higher Vocational Colleges
To support the improvement of smart campus and data service capability,higher vocational colleges begin to carry out the construction of Big Data platform.With the increase in the number of business processes on the Big Data platform,there is an increasing need for high-capacity computing and processing capabilities,and cloud computing has become a key technology to meet such needs.Among them,cloud resource scheduling optimization has become a new and urgent problem to be solved.According to the Big Data processing process of students'comprehensive early warning in a higher vocational college,a cloud resource allocation model based on BPMN is proposed and optimized.The corresponding simulation module is developed for verification,and the validity and feasibility of the model are tested.Finally,it shows that the model has reference value for further improving the operation efficiency of Big Data platform in higher vocational colleges.
Big Data platformBPMNresource optimizationbusiness processcloud computing
国家科技期刊平台
NSTL
万方数据
