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An Efficient Task Serializer for Hard Real-time TMO Systems

机译:用于硬实时TMO系统的高效任务串行器

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Timeliness-guaranteed computing considering the worst case can hardly be accomplished at run time because of the uncertainty caused by resource sharing, asynchronous events and conflicting timing constraints between tasks. An easier way to reach it is to do some off-line analysis from design time with predictable characteristics of tasks. The TMO model supporting time-triggered (SpM) and message-triggered (SvM) member-threads is a well-known real-time object-oriented task model that aims the design-time guaranteed computing. In this paper, a new efficient task serializer that allocates the executions of time-triggered periodic tasks of multiple TMOs without delay and preemption to avoid resource conflicts is presented The serializer tries to find scheduling scenarios in that each SpM is executed at its exact trigger-time without delay based on the given WCET. This is done by recasting the initial offsets of SpMs to avoid overlaps of executions. And several methods to handle SvMs according to the types of SvMs using the serializer are also proposed
机译:时效性,保证计算考虑到最坏的情况下很难在运行时,因为造成资源共享,异步事件和矛盾的任务之间的时序约束的不确定性来实现。到达它更简单的方法是做从设计时的一些离线分析任务的可预测特性。该TMO模型支持时间触发(SPM)和消息触发(SVM)构件线程是一个众所周知的实时面向对象的任务模型,目标设计时保证计算。在本文中,一种新的高效的任务序列化程序分配无延迟和抢占以避免资源冲突的多的TMO的时间触发的周期性任务执行方式呈现串行试图找到调度场景,每个SPM在其确切TRIGGER-执行时间不基于给定的WCET延迟。这是通过重铸SPMS的初始偏移量,以避免执行的重叠来完成。并提出了根据使用类型的串行支持向量机的几种方法来处理支持向量机

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