摘要
面向异构多核系统的任务调度问题一直是业内的研究热点,提出了一种动态任务调度与静态任务调度相结合的混合任务调度方法,结合视频大数据的实际应用特点,提出软实时任务的降级分配策略,并将提出的混合任务调度方法应用到校园车辆行踪管控系统中,实现了校内车辆的身份识别与行踪轨迹重构,并在交互系统中实时展现,同时,持用户统计查询等相关管理操作,经过实际部署与长时间运行,系统运行稳定,对校园内机动车实现了有效管控,满足了校内车辆管理的实际应用需求。
Multi-core heterogeneous systems oriented task scheduhng problem has being a research tocus m the industry, ttus paper proposes a dynamic task scheduling and the hybrid task scheduling method of combining static task scheduling, combining with the practical application characteristics of the of large video data, it proposes relegation for soft real-time task allocation strategy. The proposed hybrid task scheduling method is applied to the campus vehicle movement control system, which realizes the campus ve- hicle identification and whereabouts trajectory reconstruction and real-time display in the interactive system. Meanwhile it supports the relevant management operations like user statistics query. After the actual deployment and long time running, the system stably runs and effectively controls the motor vehicle on campus,. It meets the demand of the practical application of the campus vehicle management.
出处
《微型电脑应用》
2015年第1期14-16,21,共4页
Microcomputer Applications
基金
科技部支撑计划(2013BAH09F01)
上海市科委科技创新行动计划(14511106901)
关键词
视频大数据
任务调度
分布式系统
视频监控
车辆行踪
Large Scale Video
Task Schedule
Distributed System
Surveillance
Vehicle Trajectory