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Coordinated power reduction in multi-tenant colocation datacenter: An emergency demand response study

机译:多租户托管数据中心的协调能力减少:紧急需求响应研究

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Even though demand response of datacenters recently has received increasing attention due to huge demands and flexible power control knobs, most of current studies focus on the owner-operated datacenters, leaving behind another critical segment of datacenter business: multi-tenant colocation. In colocation datacenters, while there exist multiple tenants who manage their own servers, the colocation operator only provides other facilities such as cooling, reliable power, and network connectivity. Therefore, colocation has its unique feature that challenges any attempts to design its demand response program: uncoordinated power management among tenants. To tackle this challenge, we consider incentive mechanisms that can coordinate tenants' power consumption for emergency demand response, where a fixed energy reduction target must be fulfilled. For two types of price-taking and price-anticipating tenants, we propose two incentive schemes with distributed algorithms that can achieve the same optimal social cost. Finally, trace-based simulations are also provided to illustrate the efficacy of our proposed incentive schemes.
机译:尽管数据中心的需求响应最近受到越来越多的关注,因为巨大的需求和灵活的电源控制旋钮,目前大多数研究侧重于所有者经营的数据中心,留下的数据中心业务的另一个关键部分:多租户托管。在托管数据中心,同时存在谁管理自己的服务器上的多个住户,托管运营商只提供其他设施,如冷却,可靠的电源和网络连接。因此,托管有其独到之处,挑战任何企图设计它的需求响应程序:租户之间不协调的电源管理。为了应对这一挑战,我们认为可以协调租户的功耗紧急需求响应,其中一个固定的节能减排目标,必须满足激励机制。对于两种类型的价格回吐和价格预测的租户,我们提出了分布式算法,可以实现相同的最佳社会成本2个激励计划。最后,还提供了基于跟踪模拟来说明我们提出的激励方案的有效性。

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