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Simulation and Evaluation of Multiple Sporadic Servers Rescheduling

机译:多个零星服务器重新调度的仿真和评估

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This paper deals with task scheduling in heterogeneous distributed embedded computer environments of renewable and timing variable resources. Real-time application performance can be considerably influenced by unexpected events in the environment. The predictive-reactive rescheduling procedure can enable significant improvements. The rescheduling procedure based on multiple server tasks enables usage of one's own resources, but also a fast connection to nodes with appropriate performance that will soften the influence of disturbances. We developed a tool that enables simulation of application execution conditions for a given environment and extraction of better scheduling parameter settings. Numerous scheduling parameters are improved with an increase in the number of nodes available for rescheduling. We also investigate cost-effectiveness of the method based on rescheduling time cost. The results demonstrate a possibility of achieving performance improvement by tuning cost parameters.
机译:本文涉及可再生和定时可变资源的异构分布式嵌入式计算机环境中的任务调度。实时应用程序性能可能会受到环境中意外事件的很大影响。预测-反应式重新计划程序可以实现重大改进。基于多个服务器任务的重新计划过程不仅可以使用自己的资源,而且还可以快速连接到具有适当性能的节点,从而减轻干扰的影响。我们开发了一种工具,该工具可以模拟给定环境下的应用程序执行条件,并提取更好的调度参数设置。随着可用于重新调度的节点数量的增加,许多调度参数得到了改善。我们还研究了基于重新安排时间成本的方法的成本效益。结果表明,通过调整成本参数可以提高性能。

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