Slasher：云数据中心的电力灵活性方案
Slasher: Power Flexibility for Cloud Datacenters
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中文总结 AI 辅助
针对云数据中心需调节电力的多样场景，提出Slasher系统，协调资源满足电力目标并最小化工作负载影响，开发模拟器与影响模型以设计评估电力控制算法。
中文摘要 AI 辅助
数据中心消耗数兆瓦电力，常需调节电力消耗，涉及数据中心基础设施故障、电网故障、电网服务等场景，在电力幅度、削减范围、通知时间等维度需求多样。为应对这些场景，本文构建了Slasher，这是一个用于调节Azure数据中心电力的通用系统，可处理从单个机架到区域多数据中心电网事件的各类场景。Slasher协调数据中心资源，以满足电力目标同时最小化对托管工作负载的负面影响。本文梳理主要电力调节场景，基于生产云数据中心的数据刻画电力削减杠杆，描述Slasher的系统架构，构建云数据中心电力调节控制问题，还开发了高保真数据中心模拟器并提出工作负载影响模型，以此设计和评估电力控制算法。
英文摘要
Datacenters consume many megawatts of power, and regularly encounter scenarios that require modulating their power draw. These scenarios include datacenter infrastructure failures, power grid failures, grid services, and more, spanning a diverse range of requirements in terms of the power magnitude, the scope of the reduction, the notice time, and other dimensions. To address these scenarios, we have built Slasher, a general system for modulating the power of \azure datacenters to handle scenarios ranging from individual racks to regional multi-datacenter grid events. Slasher coordinates datacenter resources with the goal of meeting power targets while minimizing negative impact on hosted workloads. In this paper, we review the main power modulation scenarios, characterize the power reduction levers using data from production cloud datacenters, describe Slasher's system architecture, and formulate the cloud datacenter power modulation control problem. We also develop a high-fidelity datacenter simulator and propose a workload impact model, using them to design and evaluate power control algorithms.
