一句话：提出用无服务器函数构建可扩展、弹性的分布式文件系统元数据服务架构。
分布式文件系统的元数据服务位于关键路径上，直接影响大规模DFS的整体性能。传统“有服务器”的元数据服务架构（单服务器或服务器集群）存在明显不足：要么难以扩展，要么难以在性能、资源利用率和成本之间取得最优平衡。为此，论文提出λFS，一种基于无服务器函数的分布式文件系统元数据服务架构，旨在同时实现可扩展性与弹性。摘要主要阐述问题与设计动机，未给出具体实现细节和实验结果。
The metadata service (MDS) sits on the critical path for distributed file system (DFS) operations, and therefore it is key to the overall performance of a large-scale DFS. Common "serverful" MDS architectures, such as a single server or cluster of servers, have a significant shortcoming: either they are not scalable, or they make it difficult to achieve an optimal balance of performance, resource utilization, and cost. A modern MDS requires a novel architecture that addresses this shortcoming.
@inproceedings{paperbot10127,
title = {λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions},
author = {Benjamin Carver and Runzhou Han and Jingyuan Zhang and Mai Zheng and Yue Cheng},
booktitle = {ASPLOS},
year = {2023},
doi = {10.1145/3623278.3624765}
}