实例密集型商务工作流检测点选择策略  

Checkpoint selection for instance-intensive business workflow

作　　者：王福田[1] 李月婷 章程[1] 张以文[1] 刘晓 杨耘 WANG Futian 1 , LI Yueting 1, ZHANG Cheng 1, ZHANG Yiwen 1, LIU Xiao 2, YANG Yun 3(1.School of Computer Science and Technology, Anhui University, Hefei 230000,China; 2.Software of Information Technology, Deakin University, Melbourne 3125,Australia; 3.School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne 3122,Australi)

机构地区：[1]安徽大学计算机科学与技术学院,安徽合肥230000 [2]迪肯大学信息技术学院 [3]斯威本科技大学软件和电子工程学院

出　　处：《计算机集成制造系统》2018年第7期1758-1765,共8页Computer Integrated Manufacturing Systems

基　　金：国家自然科学基金资助项目(61402007);安徽大学信息保障技术协同创新中心开放课题资助项目(Y01002457);安徽省自然科学基金资助项目(1408085QF108)~~

摘　　要：鉴于云计算的动态性导致商务工作流的服务质量得不到保障,需要在商务工作流的执行过程中对其进行监测分析,提出一种针对实例密集型商务工作流检测点的选择策略。该策略通过对商务工作流活动规模进行分析,用一次拟合函数确定检测点的位置。通过分析商务工作流检测点时刻的吞吐量,该策略完成了对整个商务工作流运行时间的预测。通过实验验证,该策略下的商务工作流在云环境下的服务质量能够达到用户要求。Owing to the reason that the dynamic of cloud computing may affect the Quality of Service （QoS） of business workflow, the business workflow execution should be monitored, a novel checkpoint selection strategy for time-constrained instance-intensive business workflow was proposed. According to the magnitude of business workflow activities and fitting function, the strategy could output the checkpoint position. Through the throughput based analysis of business workflow checkpoint, the strategy could predict the execution time of business workflow. Experimental results demonstrated that the proposed strategy could complete business workflow in cloud computing platform to guarantee satisfactory user s requirements.

关 键 词：商务工作流 监测点 服务质量 吞吐量 

分 类 号：TP311.5[自动化与计算机技术—计算机软件与理论]