中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Component-distinguishable Co-location and Resource Reclamation for High-throughput Computing

文献类型:期刊论文

作者Zhao, Laiping1; Cui, Yushuai1; Yang, Yanan1; Zhou, Xiaobo1; Qiu, Tie1; Li, Keqiu1; Bao, Yungang2
刊名ACM TRANSACTIONS ON COMPUTER SYSTEMS
出版日期2024-05-01
卷号42期号:1-2页码:37
关键词Datacenters resource utilization tail latency co-locating
ISSN号0734-2071
DOI10.1145/3630006
英文摘要Cloud service providers improve resource utilization by co-locating latency-critical (LC) workloads with best-effort batch (BE) jobs in datacenters. However, they usually treat multi-component LCs as monolithic applications and treat BEs as "second-class citizens" when allocating resources to them. Neglecting the inconsistent interference tolerance abilities of LC components and the inconsistent preemption loss of BE workloads can result in missed co-location opportunities for higher throughput. We present Rhythm, a co-location controller that deploys workloads and reclaims resources rhythmically for maximizing the system throughput while guaranteeing LC service's tail latency requirement. The key idea is to differentiate the BE throughput launched with each LC component, that is, components with higher interference tolerance can be deployed together with more BE jobs. It also assigns different reclamation priority values to BEs by evaluating their preemption losses into a multi-level reclamation queue. We implement and evaluate Rhythm using workloads in the form of containerized processes and microservices. Experimental results show that it can improve the system throughput by 47.3%, CPU utilization by 38.6%, and memory bandwidth utilization by 45.4% while guaranteeing the tail latency requirement.
资助项目National Key Research and Development Program of China[2022YFB 4500702] ; Shandong Provincial Natural Science Foundation[ZR2022LZH018] ; National Natural Science Foundation of China[62141218] ; National Natural Science Foundation of China[62372322] ; Zhejiang Lab[2021DA0AM01/003]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001229267600002
出版者ASSOC COMPUTING MACHINERY
源URL[http://119.78.100.204/handle/2XEOYT63/40048]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Yang, Yanan; Li, Keqiu
作者单位1.Tianjin Univ, Coll Intelligence & Comp, Tianjin Key Lab Adv Networking, Tianjin, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Laiping,Cui, Yushuai,Yang, Yanan,et al. Component-distinguishable Co-location and Resource Reclamation for High-throughput Computing[J]. ACM TRANSACTIONS ON COMPUTER SYSTEMS,2024,42(1-2):37.
APA Zhao, Laiping.,Cui, Yushuai.,Yang, Yanan.,Zhou, Xiaobo.,Qiu, Tie.,...&Bao, Yungang.(2024).Component-distinguishable Co-location and Resource Reclamation for High-throughput Computing.ACM TRANSACTIONS ON COMPUTER SYSTEMS,42(1-2),37.
MLA Zhao, Laiping,et al."Component-distinguishable Co-location and Resource Reclamation for High-throughput Computing".ACM TRANSACTIONS ON COMPUTER SYSTEMS 42.1-2(2024):37.

入库方式: OAI收割

来源:计算技术研究所

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