混合云环境下成本与隐私感知的工作流调度方法  

Cost-aware and privacy-aware workflow scheduling strategy in hybrid clouds

作　　者：文一凭 王志斌 刘建勋 许小龙 陈爱民 曹步清 WEN Yiping;WANG Zhibin;LIU Jianxun;XU Xiaolong;CHEN Aimin;CAO Buqing(Hunan Provincial Unversity Key Laboratory of Knowledge Processing and Networked Manufacture,Hunan University of Science and Technology,Xiangtan 411201,China;School of Computer and Software,Nanjing University of Information Science&Technology,Nanjing 210044,China;Big Data and Industrial Innovation Development Center of Xiangtan,Xiangtan 411000,China)

机构地区：[1]湖南科技大学知识处理与网络化制造湖南省普通高校重点实验室,湖南湘潭411201 [2]南京信息工程大学计算机与软件学院,江苏南京210044 [3]湘潭市大数据和产业创新发展中心,湖南湘潭411000

出　　处：《计算机集成制造系统》2020年第6期1582-1588,共7页Computer Integrated Manufacturing Systems

基　　金：国家自然科学基金资助项目(61402167,61772193,61572187);湖南省自然科学基金资助项目(2017JJ4036,2018JJ2139);湖南省教育厅创新平台开放基金资助项目(17K033)。

摘　　要：随着大数据时代的到来,大量企业采用混合云部署应用系统。针对现有云工作流调度方法未考虑工作流多个任务间隐私保护需求的不足,构建了混合云环境下成本与隐私感知的工作流调度模型,并提出一种相应的云工作流调度算法(CPHC)。该算法可在混合云环境下调度多个云工作流应用,并在满足隐私暴露风险与截止时间约束的前提下,优化执行成本。最后,通过仿真实验说明了所提算法的有效性。With the advent of big data era,many companies have built their application systems in hybrid clouds.Aiming at the shortcoming of no consideration for privacy protection requirements among tasks in existing scheduling methods of cloud workflow normally,a model for cost-aware and privacy-aware workflow scheduling in hybrid clouds was constructed,and a corresponding scheduling strategy name CPHC was proposed.It could meet the privacy protection requirements under the deadline constraint,and reduce the cost and risks of privacy exposure involved in the execution of workflows.The result of simulation experiments showed the effectiveness of the proposed method.

关 键 词：混合云 工作流 隐私 成本 调度 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]