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On Co-scheduling of Periodic Update and Application Transactions with Fixed Priority Assignment for Real-Time Monitoring

机译:具有固定优先级分配的定期更新和应用程序事务的协同调度,用于实时监控

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In a real-time database system for detection of critical events,On co-scheduling of periodic update and application transactions with fixed priority assignment for real-time monitoring meeting the deadlines of the application transactions and maintaining the quality of the real-time data objects are two critical issues in ensuring the effectiveness of performing the real-time monitoring tasks. Unfortunately, these two goals conflict with each other and are difficult to be achieved at the same time. To address this update and application transaction co-scheduling problem, in this paper, we propose a fixed priority scheduling algorithm called Periodic Co-Scheduling (PCS). PCS uses periodic update transactions to maintain the temporal validity of real-time data objects. It judiciously decides the priority order among all the update and application transactions so that the constructed co-schedule can satisfy the deadline constraints of all the application transactions while maximizing the qualities of the real-time data objects. The effectiveness of the PCS algorithm is validated through our extensive simulation experiments.
机译:在用于检测关键事件的实时数据库系统中,根据固定的优先级分配共同调度定期更新和应用程序事务,以实时监控是否满足应用程序事务的截止日期并保持实时数据对象的质量确保有效执行实时监视任务的两个关键问题。不幸的是,这两个目标相互冲突,很难同时实现。为了解决此更新和应用程序事务协同调度问题,在本文中,我们提出了一种固定优先级的调度算法,称为周期性协同调度(PCS)。 PCS使用定期更新事务来维护实时数据对象的时间有效性。它明智地决定了所有更新和应用程序事务之间的优先级顺序,以便所构造的协同时间表可以满足所有应用程序事务的截止期限约束,同时最大程度地提高实时数据对象的质量。 PCS算法的有效性通过我们广泛的仿真实验得到了验证。

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