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Self-optimization in computer systems via on-line control: application to power management

机译：通过在线控制在计算机系统中进行自我优化：在电源管理中的应用

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Computer systems hosting critical e-commerce applications must typically satisfy stringent quality-of-service (QoS) requirements under dynamic operating conditions and workloads. Also, as such systems increase in size and complexity, maintaining the desired QoS by manually tuning the numerous performance-related parameters will become very difficult. This paper addresses the design of self-optimizing computer systems using a generic online control framework in which the control actions governing the operation of the system are obtained by optimizing its behavior, as forecast by a mathematical model, over a limited time horizon. As a specific application of this control technique, we show how to minimize the power consumed by a single computer processing a time-varying workload. Assuming a processor capable of operating at multiple frequencies, we design an online controller to satisfy the QoS requirements of the workload while operating the processor at the lowest possible frequency. We describe the processor model, formulate the power management problem, and derive the online control algorithm. The performance of the controller is evaluated using representative e-commerce workloads. Finally, we discuss how the proposed technique can be applied to other resource management problems in computer systems.
机译：托管关键电子商务应用程序的计算机系统通常必须在动态操作条件和工作负载下满足严格的服务质量（QoS）要求。而且，随着此类系统的大小和复杂性的增加，通过手动调整众多与性能相关的参数来维持所需的QoS将变得非常困难。本文介绍了使用通用的在线控制框架设计的自优化计算机系统，其中通过控制数学模型在有限时间范围内的行为来优化系统行为，从而获得控制系统运行的控制动作。作为此控制技术的特定应用，我们展示了如何最小化处理时变工作负载的单台计算机所消耗的功率。假设处理器能够在多个频率下运行，我们设计了一个在线控制器来满足工作负载的QoS要求，同时以尽可能最低的频率运行处理器。我们描述处理器模型，制定电源管理问题，并推导在线控制算法。使用代表性的电子商务工作负载评估控制器的性能。最后，我们讨论了所提出的技术如何可以应用于计算机系统中的其他资源管理问题。

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