{"title":"μDPM: Dynamic Power Management for the Microsecond Era","authors":"C. Chou, L. Bhuyan, Daniel Wong","doi":"10.1109/HPCA.2019.00032","DOIUrl":null,"url":null,"abstract":"—The complex, distributed nature of data centers have spawned the adoption of distributed, multi-tiered software architectures, consisting of many inter-connected microservices. These microservices exhibit extremely short request service times, often less than 250 µ s. We show that these “killer microsecond” service times can cause state-of-the-art dynamic power management techniques to break down, due to short idle period length and low power state transition overheads. In this paper, we propose µ DPM , a dynamic power management scheme for the microsecond era that coordinates request delaying, per-core sleep states, and voltage frequency scaling. The idea is to postpone the wake up of a CPU as long as possible and then adjust the frequency so that the tail latency constraint of requests are satisfied just-in-time. µ DPM reduces processor energy consumption by up to 32% and consistently outperforms state-of-the-art techniques by 2x.","PeriodicalId":102050,"journal":{"name":"2019 IEEE International Symposium on High Performance Computer Architecture (HPCA)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"37","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Symposium on High Performance Computer Architecture (HPCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCA.2019.00032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 37
Abstract
—The complex, distributed nature of data centers have spawned the adoption of distributed, multi-tiered software architectures, consisting of many inter-connected microservices. These microservices exhibit extremely short request service times, often less than 250 µ s. We show that these “killer microsecond” service times can cause state-of-the-art dynamic power management techniques to break down, due to short idle period length and low power state transition overheads. In this paper, we propose µ DPM , a dynamic power management scheme for the microsecond era that coordinates request delaying, per-core sleep states, and voltage frequency scaling. The idea is to postpone the wake up of a CPU as long as possible and then adjust the frequency so that the tail latency constraint of requests are satisfied just-in-time. µ DPM reduces processor energy consumption by up to 32% and consistently outperforms state-of-the-art techniques by 2x.