ODPPE算法可获得较大的服务器，因此可获得较好的非周期任务响应性能。
ODPPE can create a larger server than other methods, and thus obtains better aperiodic response time performance.
根据周期任务和非周期任务对系统风险系数的贡献不同，提出了两层任务分配策略；
The two-level tasks allocation strategy of cycle tasks and un-cycle tasks was put forward because their contributions are difference for the risk coefficient of system.
实时任务分为周期任务和非周期任务，由于两类不同任务的超时特性不同，因而分析方法也不同。
Real-time tasks are divided into periodic tasks and aperiodic tasks, Since two kinds of tasks have different missed feature, it is must to use the different analysis method.
硬实时周期任务和软实时非周期任务是实时系统中两种基本的任务类型，它们的混合调度问题是实时研究的重点之一。
The hard periodic task and soft aperiodic task are two basic types of real-time task; their hybrid scheduling is an important part of real-time research.
系统不仅需要保证数据采集、控制、传输等周期任务在确定时间内完成，也要保证突发事件等非周期任务的及时响应。
Both periodic tasks such as information acquisition, control, data communication and aperiodic tasks such as arising from arbitrary critical events must be completed within their deadlines.
提出了一种实时系统任务模型，分析了该模型中周期和非周期任务可调度的条件，并给出了一种强实时非周期任务的可预测调度算法。
This paper presents a task model for real time systems and gives the conditions that guarantee periodic and aperiodic tasks to be schedulable respectively.
在分析非周期实时任务可调度性的基础上，提出一种基于处理器瞬态利用率、系统安全风险最小的在线调度近似算法。
Based on the concept of synthetic utilization of aperiodic tasks, an online task scheduling algorithm is designed to schedule security-sensitive aperiodic tasks with minimal security risk.
在分析非周期实时任务可调度性的基础上，提出一种基于处理器瞬态利用率、系统安全风险最小的在线调度近似算法。
Based on the concept of synthetic utilization of aperiodic tasks, an online task scheduling algorithm is designed to schedule security-sensitive aperiodic tasks with minimal security risk.
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