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Montgolfier: Latency-aware power management system for heterogeneous servers

机译:Montgolfier:异构服务器的延迟感知电源管理系统

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Heterogeneous servers have long been introduced to improve energy efficiency in warehouse-scale computers(WSCs). However, running latency-critical web-services on heterogeneous servers is still challenging because the overheads of transition between such servers heavily impact overall benefits and performance. We propose Montgolfier, a runtime power management system based on a latency-aware feedback control mechanism. It consolidates wimpy and brawny servers into composite nodes to improve energy efficiency while ensuring QoS for latency-critical applications. Montgolfier effectively mitigates the effect of transition overhead between servers with dynamically load prediction and accurately provides thin-provisioned configurations in fine-grain manner for fluctuating loads. Our evaluation results show that Montgolfier reduces energy consumption by up to 34.9% without violating any QoS constraints.
机译:长期以来,已经引入了异构服务器来提高仓库规模计算机(WSC)的能源效率。但是,在异构服务器上运行对延迟至关重要的Web服务仍然具有挑战性,因为此类服务器之间的过渡开销会严重影响总体收益和性能。我们提出Montgolfier,这是一种基于时延感知的反馈控制机制的运行时电源管理系统。它将脆弱的服务器和坚固的服务器整合到复合节点中,以提高能效,同时确保对延迟要求严格的应用程序提供QoS。 Montgolfier通过动态负载预测有效地减轻了服务器之间过渡开销的影响,并以细粒度方式准确地提供了精简配置的配置,以用于波动的负载。我们的评估结果表明,Montgolfier最多可降低34.9%的能耗,而不会违反任何QoS约束。

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