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A First Look at Colocation Demand Response

机译:托管需求响应初探

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Large data centers can participate in demand response programs and receive financial benefits by reducing energy consumption upon utility's request. However, the existing research has only considered demand response by owner-operated data centers (e.g., Google), leaving out another distinctly different yet integral part of the data center industry - multi-tenant colocation data centers (a.k.a., colocation or "colo"), where the space is shared by multiple tenants for housing self-owned servers. A major hurdle hindering colocation demand response is "split incentive": the colocation operator may desire demand response, but lacks control over the tenants' servers; the tenants, on the other hand, can reduce server energy consumption but may not desire demand response unless they are properly incentivized. In this paper, we present a first-of-its-kind study on colocation demand response and propose an incentive mechanism, called iCODE (incentivizing COlocation tenants for DEmand response), which breaks the split-incentive barrier for colocation demand response. iCODE allows the tenants to voluntarily bid for energy reduction when demand response is needed and receive monetary rewards if their bids are accepted. We formally model tenants' bids and how the colocation operator decides the winning bids to maximize total energy reduction without profit loss. We demonstrate the potential of colocation demand response by using a trace-based simulation to show that iCODE can significantly reduce energy consumption (e.g., up to over 50%) during demand response periods.
机译:大型数据中心可以参加需求响应计划,并通过根据公用事业的要求减少能耗来获得财务收益。但是,现有研究仅考虑了所有者经营的数据中心(例如Google)的需求响应,而忽略了数据中心行业的另一个截然不同但不可或缺的部分-多租户托管数据中心(aka,托管或“ colo” ),该空间由多个租户共享以容纳自有服务器。阻碍托管需求响应的一个主要障碍是“分裂激励”:托管运营商可能希望需求响应,但缺乏对租户服务器的控制。另一方面,租户可以减少服务器能耗,但是除非他们受到适当的激励,否则他们可能不希望需求响应。在本文中,我们提出了关于代管需求响应的同类研究,并提出了一种名为iCODE(激励代管租户对需求响应的激励)的激励机制,该机制打破了代管需求响应的分裂激励障碍。 iCODE允许租户在需要需求响应时自愿降低能耗,并在接受投标后获得金钱奖励。我们正式建模租户的投标,以及托管运营商如何确定中标以最大程度地减少总能源消耗而无利润损失。我们通过使用基于跟踪的模拟来展示托管托管需求响应的潜力,以表明iCODE可以在需求响应期间显着降低能耗(例如,最多降低50%以上)。

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