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LASS: Reducing Cold Startup Latency in Serverless Through Loaded Library Sharing
Yu, Zishu1,2; Zhang, Yao1,2; Li, Runfu1,2; Wang, Yifan1,2; Peng, Xiaohui1,2; Xu, Zhiwei1,2
2026-03-01
发表期刊IEEE TRANSACTIONS ON COMPUTERS
ISSN0018-9340
卷号75期号:3页码:901-915
摘要In serverless scenario, function invocation runs in an individual container. Lightweight container technology has significantly reduced the startup latency of container. The library loading process now becomes a critical performance bottleneck of serverless function cold startup. The state-of-the-art approaches leverage the process fork operation to reduce the cold startup latency in serverless computing by reusing the loaded libraries. However, the fork operation can only share libraries between parent process and forked process. For security, the libraries loaded by the parent process should be a subset of those required by the forked process, which limits opportunities to eliminate library loading overhead. To address this problem, we propose the LASS system, which enables multiple processes to share initialized libraries in a composable and efficient manner. LASS allows a process to securely reuse libraries loaded by multiple processes, thereby reducing library loading latency to the millisecond level. Compared to the state-of-the-art approaches, LASS can improve average library loading speed by more than 10.3 x, and reduce 99(th) percentile end-to-end latency by 34%-57%.
关键词Libraries Loading Containers Computers Message systems Virtual machine monitors Serverless computing Runtime Artificial intelligence Security Cloud computing serverless cold startup library-level sharing local address space service
DOI10.1109/TC.2025.3643460
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Hardware & Architecture ; Engineering, Electrical & Electronic
WOS记录号WOS:001690579300030
出版者IEEE COMPUTER SOC
引用统计
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/42790
专题中国科学院计算技术研究所
通讯作者Peng, Xiaohui
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
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GB/T 7714
Yu, Zishu,Zhang, Yao,Li, Runfu,et al. LASS: Reducing Cold Startup Latency in Serverless Through Loaded Library Sharing[J]. IEEE TRANSACTIONS ON COMPUTERS,2026,75(3):901-915.
APA Yu, Zishu,Zhang, Yao,Li, Runfu,Wang, Yifan,Peng, Xiaohui,&Xu, Zhiwei.(2026).LASS: Reducing Cold Startup Latency in Serverless Through Loaded Library Sharing.IEEE TRANSACTIONS ON COMPUTERS,75(3),901-915.
MLA Yu, Zishu,et al."LASS: Reducing Cold Startup Latency in Serverless Through Loaded Library Sharing".IEEE TRANSACTIONS ON COMPUTERS 75.3(2026):901-915.
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