边云协同计算中安全感知的工作流任务调度策略  

A Security-aware Workflow Scheduling Strategy for Edge-cloud Computing

作　　者：石文玉[1] 张蕊[1] SHI Wen-yu;ZHANG Rui(School of Information and Engineering,Anhui Xinhua University,Hefei 230087,China)

机构地区：[1]安徽新华学院信息工程学院,安徽合肥230087

出　　处：《长春师范大学学报》2020年第8期35-41,共7页Journal of Changchun Normal University

摘　　要：随着物联网的快速发展,业务流程系统既需要海量资源又要求实时性。边云协同计算融合了云计算的海量处理能力,且具有边缘计算低延迟和本地化的优点。但终端设备能量有限,边缘节点容易受到攻击、安全性无法保证。本文提出一种基于区块链的边云协同网络模型,考虑到多层资源环境下任务调度问题,改进了适应度函数来评估终端设备能耗和任务执行安全性,并提出一种使用多层资源的满足响应时间约束的工作流任务调度策略。从适应度值、能耗、任务完成时间和安全系数等方面进行了比较,实验结果表明,该策略能够在响应时间约束内提供能耗较优且安全的任务调度方案。With the rapid development of IoT,business process system requires massive resources and real-time response.Edge-cloud computing integrates massive processing power of cloud computing with low latency and localization of edge computing.However,energy of terminal device is limited and edge nodes are vulnerable to attacks.Firstly,this paper proposes a model of edge-cloud network based on blockchain.Secondly,a new fitness function is proposed to evaluate the energy consumption of end devices and the security of task execution.Finally,a security-aware energy-efficient multi-source workflow task scheduling strategy with response time constraint is proposed.Our proposed strategy has been compared in terms of fitness value,energy consumption,task completion time and security.The experimental results show that our strategy can achieve the security requirement and has less energy consumption under response time constraints.

关 键 词：边云协同计算 安全感知 区块链 工作流调度 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]