Hydra:高能效的异构服务器融合方法

发布时间：2018-11-26 12:45

【摘要】：考虑当前数据中心服务器面临日常工作负载强度从0%~90%的大幅波动,但很多时间服务器处于低利用率或者空闲状态.即使在空闲状态,典型服务器仍然需要消耗50%左右峰值电力来维持其活动状态.然而简单地关闭空闲服务器的策略很难实施,因为不可预测的用户请求和突发事件可能导致频繁开关机,进而产生严重的性能和可靠性降级.提出了一种新颖异构服务器级融合的节能解决方案Hydra.Hydra提出了一种新架构,该架构把多台异构(功率/性能/成本)特性的服务器整合成虚拟服务器,并根据负载变化进行自动切换.为此Hydra提供了2个关键机制:1)Hydra监听机制,监控传入的负载强度来决定何时进行服务器切换;2)Hydra切换机制,能够融合各服务器的空闲和忙碌时间段,为系统级深度睡眠创造机会;Hydra是基于2个概念设计的:1)在轻负载条件下,优化能源利用效率;2)保证响应时间上界.最后实验证明,Hydra降低服务器70%的平均能耗.同时通过成本模型,发现Hydra能够提升18%的每TCO(total cost of ownership)美元的性能.
[Abstract]:Considering that the current data center server is facing a large fluctuation of daily workload intensity from 0% to 90%, many time servers are in low utilization or idle state. Even in idle state, the typical server still needs to consume about 50% peak power to maintain its active state. However, the strategy of simply shutting down idle servers is difficult to implement, because unpredictable user requests and emergencies may lead to frequent switching machines, resulting in serious degradation of performance and reliability. This paper presents a novel energy saving solution for heterogeneous server level integration. Hydra.Hydra proposes a new architecture that integrates multiple heterogeneous (power / performance / cost) servers into virtual servers. And automatically switch according to the load change. For this reason, Hydra provides two key mechanisms: 1) Hydra monitoring mechanism to monitor incoming load intensity to determine when to switch servers; 2) Hydra switching mechanism can combine the idle and busy time of each server to create opportunities for system-level deep sleep. Hydra is designed based on two concepts: 1) optimizing energy efficiency under light load conditions; 2) guarantee the upper bound of response time. Finally, the experiment proves that Hydra reduces the average energy consumption of the server by 70%. At the same time, the cost model shows that Hydra can improve performance by 18% per TCO (total cost of ownership).
【作者单位】：武汉光电国家实验室(华中科技大学);
【分类号】：TP308;TP368.5

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