静态优先级调度网络中实时应用的有效资源分配

Chunfeng Wang, Xiuzhong Chen, Ru Li, Xiaolu Huang, Zhongcheng Li
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引用次数: 1

摘要

本文提出了一种有效的资源分配技术,可以为实时应用提供绝对延时保证服务。在对连接种群不敏感的时延计算和最坏情况时延分析的基础上,我们提出了考虑运行时网络工作负载不均匀分布因素的方法来配置提供给实时应用的资源。有了这些新方法,基于利用率的准入控制也可以用于提供可扩展和有效的准入控制。我们假设底层网络使用静态调度。我们将关注最简单的情况,即实时应用程序中只有一类是服务。我们将自适应策略的结果与统一UBAC方法的结果进行了比较,并证明了该策略在有效利用系统资源方面的改进。
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Effective resource provision for real-time applications in static-priority scheduling networks
In this paper, we propose an effective resource provision technique, which can provide absolute delay guaranteed services for real-time application. Based on other work on connection- population-insensitive delay computing and worst-case delay analysis, we develop methods which consider the run time network workload uneven distribution factors to configure resources provided to real-time applications. With these new methods, utilization based admission control can also be used to provide scalable and efficient admission control. We assume the underlying network to use static scheduling. We concentrate on the simplest case that only one class of real-time application is services. We compare the results of our adaptive strategy with those of the uniform UBAC method and demonstrate the improvement in effective utilization of system resources.
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