Pome: Parallelizing I/Os and Computations for Efficient LSM-tree-based Data Storage

Proceedings of the 35th International Symposium on High-Performance Parallel and Distributed Computing 2026 Open access

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Authors: Yanpeng Hu, Li Zhu, Lei Jia, Chundong Wang
DOI: 10.1145/3806645.3807603
Cited by: 0
References: 42

Abstract

CPU computations and I/O operations are fundamental to data storage systems. Storage systems conduct computations with their user threads, such as sorting data for orderliness. They handle I/Os through system calls (syscalls) including file write, read, and fsync, which the OS’s kernel threads perform with storage devices.

Fields of Study & Subjects

Advanced Data Storage Technologies Parallel Computing and Optimization Techniques Distributed and Parallel Computing Systems

Publication details

Journal / source
Proceedings of the 35th International Symposium on High-Performance Parallel and Distributed Computing
Publisher
ACM
Pages
521–534
Publication date
11 July 2026
Language
EN