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首页> 外文期刊>The Journal of Systems and Software >Feedback control-based dynamic resource management in distributed real-time systems
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Feedback control-based dynamic resource management in distributed real-time systems

机译：分布式实时系统中基于反馈控制的动态资源管理

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摘要

The resource management in distributed real-time systems becomes increasingly unpredictable with the proliferation of data-driven applications. Therefore, it is inefficient to allocate the resources statically to handle a set of highly dynamic tasks whose resource requirements (e.g., execution time) are unknown a prior. In this paper, we build a distributed real-time system based on the control theory, focusing on the computational resource management. Specifically, this work makes three important contributions. First, it allows the designer to specify the desired temporal behavior of system adaptation, such as the speed of convergence. This is in contrast to previous literature, specifying only steady-state metrics, e.g. the deadline miss ratio. Second, unlike QoS optimization approaches, our solution meets performance guarantees with no accurate knowledge of task execution parameters - a key advantage in a poorly modeled environment. Last, in contrast to ad hoc algorithms based on intuition and testing, we rigorously prove that our approach not only has excellent steady state behavior, but also meets stability, overshoot, and settling time requirements.
机译：随着数据驱动应用程序的激增，分布式实时系统中的资源管理变得越来越不可预测。因此，静态地分配资源来处理其资源要求（例如，执行时间）是事先未知的一组高度动态的任务效率低下。在本文中，我们基于控制理论构建了一个分布式实时系统，重点是计算资源管理。具体来说，这项工作做出了三个重要贡献。首先，它允许设计人员指定所需的系统自适应时间行为，例如收敛速度。这与以前的文献相反，后者仅规定了稳态指标，例如截止期限错过率。其次，与QoS优化方法不同，我们的解决方案在不准确了解任务执行参数的情况下无法满足性能保证，这是建模欠佳环境中的关键优势。最后，与基于直觉和测试的即席算法相比，我们严格地证明了我们的方法不仅具有出色的稳态行为，而且还满足稳定性，超调和建立时间的要求。

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