摘要： 聚焦Ceph存储系统对象存储设备（Object Storage Device， OSD）架构线程锁竞争机制所导致的多核并行扩展能力受限问题，针对下一代Crimson-OSD架构与智能网卡协同优化技术开展研究，提出分层协同优化框架。相关研究表明，采用智能网卡协同优化，RDMA网络卸载降低CPU占用率达到70%，异构计算引擎实现纠删码硬件加速提升数据恢复速度达到4.84倍。研究成果为分布式存储系统的硬件加速提供相关理论依据与关键技术参考，对高性能计算和云边端融合等数据密集型场景的存储系统优化具有指导意义。

中图分类号：TN915.05 文献标志码：A DOI: 10.16157/j.issn.0258-7998.256678
中文引用格式： 刘宝琴，罗向征，林茂，等. 智能网卡加速Ceph存储的性能研究[J]. 电子技术应用，2025，51(12)：14-19.
英文引用格式： Liu Baoqin，Luo Xiangzheng，Lin Mao，et al. Research on accelerating Ceph storage performance with SmartNICs[J]. Application of Electronic Technique，2025，51(12)：14-19.

Research on accelerating Ceph storage performance with SmartNICs

Abstract： This paper focuses on the issue of limited multi-core parallel scalability caused by thread lock contention mechanisms in the architecture of the Ceph storage system's Object Storage Device (OSD). It conducts research on collaborative optimization technologies between the next-generation Crimson-OSD architecture and SmartNICs, proposing a hierarchical cooperative optimization framework. Related studies demonstrate that employing SmartNIC-based cooperative optimization achieves a 70% reduction in CPU utilization through RDMA network offloading, while heterogeneous computing engines enable hardware acceleration for erasure coding, improving data recovery speed by 4.84 times. The research outcomes provide theoretical foundations and key technical references for hardware acceleration in distributed storage systems, offering guidance for optimizing storage systems in data-intensive scenarios such as high-performance computing and cloud-edge-end integration.

Key words : SmartNIC；Ceph storage system；performance optimization；hardware acceleration；distributed storage system