Latency-Aware Dynamic Server and Cooling Capacity Provisioner for Data Centers

Anuroop Desu, Udaya L. N. Puvvadi, Tyler Stachecki, Sagar Vishwakarma, Sadegh Khalili, K. Ghose, B. Sammakia
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引用次数: 1

Abstract

Data center operators generally overprovision IT and cooling capacities to address unexpected utilization increases that can violate service quality commitments. This results in energy wastage. To reduce this wastage, we introduce HCP (Holistic Capacity Provisioner), a service latency aware management system for dynamically provisioning the server and cooling capacity. Short-term load prediction is used to adjust the online server capacity to concentrate the workload onto the smallest possible set of online servers. Idling servers are completely turned off based on a separate long-term utilization predictor. HCP targets data centers that use chilled air cooling and varies the cooling provided commensurately, using adjustable aperture tiles and speed control of the blower fans in the air handler. An HCP prototype supporting a server heterogeneity is evaluated with real-world workload traces/requests and realizes up to 32% total energy savings while limiting the 99th-percentile and average latency increases to at most 6.67% and 3.24%, respectively, against a baseline system where all servers are kept online.
数据中心的延迟感知动态服务器和冷却能力提供程序
数据中心运营商通常会过度配置IT和冷却能力,以应对可能违反服务质量承诺的意外利用率增长。这就造成了能源的浪费。为了减少这种浪费,我们引入了HCP(整体容量提供器),这是一个服务延迟感知管理系统,用于动态提供服务器和冷却容量。短期负载预测用于调整在线服务器容量,以便将工作负载集中到尽可能小的在线服务器集上。根据单独的长期利用率预测器完全关闭空闲服务器。HCP的目标是使用冷冻空气冷却的数据中心,并相应地改变提供的冷却,使用可调节的孔径砖和空气处理器中的鼓风机的速度控制。支持服务器异构的HCP原型使用真实的工作负载跟踪/请求进行评估,实现了高达32%的总能源节约,同时将第99百分位和平均延迟分别限制在6.67%和3.24%,而基线系统中所有服务器都保持在线。
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