摘要
针对车联网在应对随机突发移动大数据计算请求时存在响应代价大、能耗高等服务质量问题,设计一种在线接入计算方案。通过建立自适应移动载荷评估机制,协同远程云端和边缘雾端共同为云车网节点确定移动计算规模,以确保移动车端获得时延级QoS。引入软件定义控制器全局在线监测和调度功能,采用虚拟计算机制为每个节点制定基于能耗最优的移动计算管理机制,以获得能耗级QoS。该方案不仅维持了节点属性差异化与移动大数据计算之间的对等性,双向评估策略也进一步稳固了计算结果的全局适应性。测试表明,较目前车联网QoS技术,本方案表现出了显著的相对优势。
Aiming at the problems of high response cost,high energy consumption and high quality of service(QoS)when the Internet of Vehicles(IOV)responds to random burst mobile big data computing requests,an online access computing scheme is designed.By establishing an adaptive mobile load evaluation mechanism,the scheme cooperates with the remote cloud and edge fog to determine the mobile computing scale for the cloud car network node,so as to ensure that the mobile car terminal can obtain delay level QoS.The global online monitoring and scheduling function of the software defined controller is introduced,and the virtual computer system is used to develop a mobile computing management mechanism based on optimal energy consumption for each node to obtain energy consumption level QoS.This scheme not only maintains the equivalence between node attribute differentiation and mobile big data computing,but also further stabilizes the global adaptability of computing results.The test shows that this scheme shows significant comparative advantages over the current Internet of Vehicles QoS technology.
作者
余庚
YU Geng(Fujian Chuanzheng Communications College,Fuzhou 350007,China)
出处
《长春师范大学学报》
2023年第8期47-53,共7页
Journal of Changchun Normal University
基金
教育部科技发展中心中国高校产学研创新基金项目“新一代信息技术创新项目”“DCN中绿色虚拟异构云技术的多维研究”(2019ITA01022)
福建省中青年教师教育科研项目“效能约束下的软件定义异构虚拟云车网智能应用定制技术的研究”(JAT210705)
福建省中青年教师教育科研项目“智能汽车网联腾云驾雾新技术的研究”(JAT201066)。
关键词
软件定义控制器
虚拟计算
云车网
移动计算
云计算
software defined controller
virtual computing
cloud car network
mobile computing
cloud computing
作者简介
余庚,男,副教授,硕士,从事计算机通信研究。
