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Capacity-based admission control for mixed periodic and aperiodic real time service processes

机译:基于容量的准入控制,用于混合的周期性和非周期性实时服务流程

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This paper presents an on-line admission control algorithm for one-time aperiodic service requests and periodically generated service processes with real time constraints. Both types of service requests dynamically come and leave the system at run time, making any off-line analysis infeasible. During admission test, periodic task schedulability is determined by using per-task fixed capacity policy to account for the rate of each task. Aperiodic requests are admitted using any remaining capacity after periodic tasks. At run time, earliest deadline first (EDF) scheduling is used to reduce context switch overhead. The proposed admission control is simpler than the traditional EDF analysis for mixed workload of periodic and aperiodic service processes. Simulation results show that the proposed algorithm achieves 10–40% gain in system utilization compared with earlier fixed-priority, bound-based admission test, while incurs only sub-millisecond overhead for each service request.
机译:本文提出了一种针对一次非周期性服务请求和具有实时约束的周期性生成服务过程的在线准入控制算法。两种类型的服务请求都在运行时动态地进出系统,从而使任何离线分析都不可行。在准入测试期间,通过使用每个任务的固定容量策略来考虑每个任务的速率来确定定期任务的可调度性。定期任务后,可以使用任何剩余容量来接受非定期请求。在运行时,最早的截止日期优先(EDF)调度用于减少上下文切换开销。对于周期性和非周期性服务流程的混合工作负载,建议的准入控制比传统的EDF分析更简单。仿真结果表明,与较早的固定优先级,基于边界的准入测试相比,该算法可提高系统利用率10-40%,而每个服务请求仅产生亚毫秒级的开销。

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