DynSleep: Fine-grained Power Management for a Latency-Critical Data Center Application

Abstract

Servers running in datacenters are commonly kept underutilized to meet stringent latency targets. Due to poor energy-proportionality in commodity servers, the low utilization results in wasteful power consumption that cost millions of dollars. Applying dynamic power management on datacenter workloads is challenging, especially when tail latency requirements often fall in the sub-millisecond level. The fundamental issue is randomness due to unpredictable request arrival times and request service times. Prior techniques applied per-core DVFS to have fine-grain control of slowing down request processing without violating the tail latency target. However, most commodity servers only support per-core DFS, which greatly limits potential energy saving. In this paper, we propose DynSleep, a fine-grain power management scheme for datacenter workloads through the use of per-core sleep states (C-states). DynSleep dynamically postpones the processing of some requests, creating longer idle periods, which allow the use of deeper C-states to save energy. We design and implement DynSleep with Mem-cached, a popular key-value store application used in datacenters. The experimental results show that DynSleep achieves up to 65% core power saving, and 27% better than the per-core DVFS power management scheme, while still satisfying the tail latency constraint. To the best of our knowledge, this is the first work to analyze and develop power management technique with CPU C-states in latency-critical datacenter workloads