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FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture
Xu, Chuhao1; Liu, Yiyu1; Li, Zijun1; Chen, Quan1; Zhao, Han1; Zeng, Deze2; Peng, Qian3; Wu, Xueqi3; Zhao, Haifeng3; Fu, Senbo3; Guo, Minyi1
2024-04-27
Source PublicationInternational Conference on Architectural Support for Programming Languages and Operating Systems - ASPLOS
Volume3
Pages331-348
Original Document TypeConference article (CA)
AbstractIn serverless computing, an idle container is not recycled directly, in order to mitigate time-consuming cold container startup. These idle containers still occupy the memory, exasperating the memory shortage of today’s data centers. By offloading their cold memory to remote memory pool could potentially resolve this problem. However, existing offloading policies either hurt the Quality of Service (QoS) or are too coarse-grained in serverless computing scenarios. We therefore propose FaaSMem, a dedicated memory offloading mechanism tailored for serverless computing with memory poor architecture. It is proposed based on our finding that the memory of a serverless container allocated in different s tages h as d ifferent us age pa tterns. Specifically, FaaSMem proposes Page Bucket (Pucket) to segregate the memory pages in different segments, and applies segment-wise offloading policies for them. FaaSMem also proposes a semi-warm period during keep-alive stage, to seek a sweet spot between the offloading effort and the remote access penalty. Experimental results show that FaaSMem reduces the average local memory footprint by 9.9% - 79.8% and improves the container deployment density to 108% - 218%, with negligible 95%-ile latency increase. © 2024 Copyright held by the owner/author(s).
KeywordLakes Memory architecture Quality of service Datacenter Faas Memory efficiency Memory offloading Memory pool Memory pool architecture Memory shortage Quality-of-service Remote memory Serverless computing
DOI10.1145/3620666.3651355
Language英语
Indexed ByEI
EI Accession Number20241916038443
PublisherAssociation for Computing Machinery
Conference Name29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2024
EI KeywordsContainers
Conference DateApril 27, 2024 - May 1, 2024
Conference PlaceSan Diego, CA, United states
Citation statistics
Cited Times [WOS]:-1   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.cug.edu.cn/handle/2XU834YA/360989
Collection中国地质大学(武汉)
Affiliation1.Shanghai Jiao Tong University, Shanghai, China
2.China University of Geosciences, Wuhan, China
3.Huawei Cloud, Shenzhen, China
Recommended Citation
GB/T 7714
Xu, Chuhao,Liu, Yiyu,Li, Zijun,et al. FaaSMem: Improving Memory Efficiency of Serverless Computing with Memory Pool Architecture[C]:Association for Computing Machinery,2024:331-348.
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