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RHINO: An Efficient Serverless Container System for Small-Scale HPC Applications

文献类型：期刊论文

作者Zhu, He1,2; Li, Mingyu1; You, Haihang1
刊名IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
出版日期2025-08-01
卷号36期号:8页码:1560-1573
关键词Runtime Codes Computational modeling Costs Containers Adaptation models Parallel processing Training Schedules Scalability Serverless computing HPC system runtime optimization execution model
ISSN号1045-9219
DOI10.1109/TPDS.2025.3576584
英文摘要Serverless computing, characterized by its pay-as-you-go and auto-scaling features, offers a promising alternative for High Performance Computing (HPC) applications, as traditional HPC clusters often face long waiting times and resources over/under-provisioning. However, current serverless platforms struggle to support HPC applications due to restricted inter-function communication and high coupling runtime. To address these issues, we introduce RHINO, which offers end-to-end support for the development and deployment of serverless HPC. Using the Two-Step Adaptive Build strategy, the HPC code is packaged into lightweight, scalable functions. The Rhino Function Execution Model decouples HPC applications from the underlying infrastructures. The Auto-scaling Engine dynamically scales cloud resources and schedules tasks based on performance and cost requirements. We deploy RHINO on AWS Fargate and evaluate it on both benchmarks and real-world workloads. Experimental results show that, when compared to the traditional VM clusters, RHINO can achieve a performance improvement of 10% -30% for small-scale applications and more than 40% cost reduction.
资助项目Natural Science Foundation of China[41930110]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:001512515000005
出版者IEEE COMPUTER SOC
源URL[http://119.78.100.204/handle/2XEOYT63/42287]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者You, Haihang
作者单位1.Chinese Acad Sci, Inst Comp Technol, State Key Lab Processors, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 101408, Peoples R China
推荐引用方式
GB/T 7714		 Zhu, He,Li, Mingyu,You, Haihang. RHINO: An Efficient Serverless Container System for Small-Scale HPC Applications[J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,2025,36(8):1560-1573.
APA Zhu, He,Li, Mingyu,&You, Haihang.(2025).RHINO: An Efficient Serverless Container System for Small-Scale HPC Applications.IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS,36(8),1560-1573.
MLA Zhu, He,et al."RHINO: An Efficient Serverless Container System for Small-Scale HPC Applications".IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS 36.8(2025):1560-1573.

入库方式： OAI收割

来源：计算技术研究所

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