云环境下高效的车载多媒体任务调度架构  

Efficient In-VehicleMultimedia Task Scheduling Architecturein Cloud Environment

作　　者：赵一瑾 ZHAO Yijin(College of Traffic Information Engineering of Yunnan Jiaotong College, Kunming 655000, China)

机构地区：[1]云南交通职业技术学院交通信息工程学院,昆明655000

出　　处：《西南师范大学学报（自然科学版）》2021年第9期109-114,共6页Journal of Southwest China Normal University(Natural Science Edition)

基　　金：云南省教育厅科学研究基金项目(2019J0521).

摘　　要：针对多媒体因资源成本、快速服务响应时间和体验质量严重影响车载通信性能等问题,提出一种云环境下基于动态优先级的高效车载多媒体任务调度算法.该算法利用基于动态优先级的车载多媒体作业队列(Job Queue,JQ)处理任何请求的优先级,以确保向不同优先级的不同多媒体终端用户及时发送响应,根据工作负载动态分配给每个计算服务器的计算资源,以便根据多媒体用户体验质量(Quality of Experience,QoE)的要求来处理多媒体任务.实验结果表明,该算法在体验质量、服务响应时间和资源成本等方面均有明显改善.To solve the program that the resource cost,fast service response time and experience quality of multimedia seriously affect the vehicle communication performance,an efficient in-vehicle multimedia task scheduling scheme based on dynamic priority in cloud environment has beenproposed.In this scheme,dynamic priority based mobile multimedia job queue is used to process the priority of any request to ensure that the response is sent to different multimedia end users with different priorities in time,and the computing resources are dynamically allocated to each computing server according to the workload,so as to process the multimedia tasks according to the requirements of the quality of multimedia user experience.The experimental results show that the algorithm can significantly improve the quality of experience,service response time and resource cost.

关 键 词：多媒体云计算 智能交通系统 车载自组网 智能车辆 体验质量 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]