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Coordinated Priority-aware Charging of Distributed Batteries in Oversubscribed Data Centers

机译:超额订购的数据中心中的分布式电池协调感知优先充电

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Data centers employ batteries for uninterruptible operation during maintenance and power failures, for example, when switching to diesel generator power after a utility power failure. Depleted batteries start to recharge once the input power is back, creating a sudden power spike in the power hierarchy. If not properly controlled, a sustained power overload can potentially trip circuit breakers, leading to service outages. Power overloads due to battery recharging are even more likely in oversubscribed data centers where the power infrastructure is aggressively provisioned for high utilization. The problem caused by simultaneous recharging of batteries in a data center has not been extensively studied and no real-world solutions have been proposed in the literature.In this paper, we identify the problem due to battery recharging with case studies from Facebook's data centers. We describe the solutions we have developed to coordinate charging of batteries without exceeding the circuit breaker power limit. We explain in detail, the variable battery charging algorithm built into the distributed battery charger hardware deployed in Facebook data centers, and the system design considerations necessary on a large scale. The new variable charger is able to reduce battery recharge power by up to 80%. We further leverage individual battery charging control mechanism to coordinate the charging process such that we charge the batteries according to priorities of applications running on the servers supported by the batteries. We evaluate our coordinated priority-aware battery charging algorithm by building a prototype in a Facebook production data center as well as through simulation experiments using production power traces. Our results show that we are able to meet reliability service level agreements by using our battery recharging algorithm, while satisfying given power constraints.
机译:数据中心在维护和电源故障期间(例如,在公用事业电源故障后切换为柴油发电机电源时)使用电池进行不间断运行。一旦输入电源恢复供电,耗尽的电池就会开始充电,从而在电源层次结构中造成突然的电源尖峰。如果控制不当,持续的电源过载可能会使断路器跳闸,从而导致服务中断。在过度预定的数据中心中,由于电池充电而导致的功率过载甚至更有可能出现,在这些数据中心中,积极为高利用率配置了电源基础架构。尚未对数据中心中的电池同时充电引起的问题进行广泛研究,并且文献中也没有提出实际解决方案。在本文中,我们通过Facebook数据中心的案例研究确定了由于电池充电而引起的问题。我们描述了我们为协调电池充电而不会超出断路器功率极限而开发的解决方案。我们将详细解释Facebook数据中心中部署的分布式电池充电器硬件中内置的可变电池充电算法,以及大规模所需的系统设计注意事项。新的可变充电器能够将电池充电功率降低多达80%。我们进一步利用单独的电池充电控制机制来协调充电过程,以便我们根据电池支持的服务器上运行的应用程序的优先级为电池充电。我们通过在Facebook生产数据中心中构建原型以及通过使用生产功率迹线的模拟实验来评估协调的优先级感知电池充电算法。我们的结果表明,通过使用我们的电池充电算法,我们能够满足可靠性服务水平协议,同时满足给定的功率约束。

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