高职院校大数据业务流程资源优化研究  

Research on Resource Optimization of Big Data Business Process in Higher Vocational Colleges

作　　者：彭飞 PENG Fei(Yangzhou Polytechnic College,Yangzhou 225009,China)

机构地区：[1]扬州市职业大学,江苏扬州225009

出　　处：《现代信息科技》2024年第21期114-118,123,共6页Modern Information Technology

基　　金：江苏省现代教育技术研究2021年度智慧校园专项课题(2021-R-96762)。

摘　　要：为支持智慧校园和数据服务能力的提升,高职院校开始进行大数据平台建设,随着大数据平台业务流程数量的增加,越来越需要高容量计算处理能力,而云计算成为满足此类需求的关键技术,其中云资源调度优化又成了新的亟待解决的问题。根据某高职院校学生综合预警大数据处理流程,提出一种基于BPMN的云资源分配模型并进行优化,开发了相应的仿真模块进行验证,测试了模型的有效性和可行性,最终表明该模型对进一步提升高职院校大数据平台的运行效率具有参考价值。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.

关 键 词：大数据平台 BPMN 资源优化 业务流程 云计算 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]