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Blink: Managing Server Clusters on Intermittent Power

机译:闪烁:间歇性地管理服务器群集

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摘要

Reducing the energy footprint of data centers continues to receive significant attention due to both its financial and environmental impact. There are numerous methods that limit the impact of both factors, such as expanding the use of renewable energy or participating in automated demand-response programs. To take advantage of these methods, servers and applications must gracefully handle intermittent constraints in their power supply. In this paper, we propose blinking-metered transitions between a high-power active state and a low-power inactive state-as the primary abstraction for conforming to intermittent power constraints. We design Blink, an application-independent hardware-software platform for developing and evaluating blinking applications, and define multiple types of blinking policies. We then use Blink to design BlinkCache, a blinking version of memcached, to demonstrate the effect of blinking on an example application. Our results show that a load-proportional blinking policy combines the advantages of both activation and synchronous blinking for realistic Zipf-like popularity distributions and wind/solar power signals by achieving near optimal hit rates (within 15% of an activation policy), while also providing fairer access to the cache (within 2% of a synchronous policy) for equally popular objects.
机译:由于数据中心的财务和环境影响,减少数据中心的能源足迹仍然受到广泛关注。有许多方法可以限制这两个因素的影响,例如扩大可再生能源的使用或参与自动化的需求响应程序。为了利用这些方法,服务器和应用程序必须妥善处理其电源中的间歇性约束。在本文中,我们提出了在高功率有功状态和低功率无功状态之间的闪烁计量过渡,这是符合间歇性功率约束的主要抽象。我们设计了Blink,这是一个独立于应用程序的硬件软件平台,用于开发和评估闪烁的应用程序,并定义多种类型的闪烁策略。然后,我们使用Blink设计BlinkCache(闪烁的memcached版本),以演示闪烁对示例应用程序的影响。我们的结果表明,与负载成比例的闪烁策略结合了激活和同步闪烁的优点,通过实现接近最佳的命中率(在激活策略的15%以内),实现了逼真的类似Zipf的流行分布和风/太阳能信号。为同样受欢迎的对象提供对缓存的更公平的访问(在同步策略的2%之内)。

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