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| Main Authors: | , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.10251 |
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| _version_ | 1866914033526898688 |
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| author | Yi, Shushu An, Yuda Peng, Li Pan, Xiurui Li, Qiao Yin, Jieming Zhang, Guangyan Wu, Wenfei Zhou, Diyu Wang, Zhenlin Wang, Xiaolin Luo, Yingwei Zhou, Ke Zhang, Jie |
| author_facet | Yi, Shushu An, Yuda Peng, Li Pan, Xiurui Li, Qiao Yin, Jieming Zhang, Guangyan Wu, Wenfei Zhou, Diyu Wang, Zhenlin Wang, Xiaolin Luo, Yingwei Zhou, Ke Zhang, Jie |
| contents | Enterprise SSDs integrate numerous computing resources (e.g., ARM processor and onboard DRAM) to satisfy the ever-increasing performance requirements of I/O bursts. While these resources substantially elevate the monetary costs of SSDs, the sporadic nature of I/O bursts causes severe SSD resource underutilization in just a bunch of flash (JBOF) level. Tackling this challenge, we propose XBOF, a cost-efficient JBOF design, which only reserves moderate computing resources in SSDs at low monetary cost, while achieving demanded I/O performance through efficient inter-SSD resource sharing. Specifically, XBOF first disaggregates SSD architecture into multiple disjoint parts based on their functionality, enabling fine-grained SSD internal resource management. XBOF then employs a decentralized scheme to manage these disaggregated resources and harvests the computing resources of idle SSDs to assist busy SSDs in handling I/O bursts. This idea is facilitated by the cache-coherent capability of Compute eXpress Link (CXL), with which the busy SSDs can directly utilize the harvested computing resources to accelerate metadata processing. The evaluation results show that XBOF improves SSD resource utilization by 50.4% and saves 19.0% monetary costs with a negligible performance loss, compared to existing JBOF designs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_10251 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | XBOF: A Cost-Efficient CXL JBOF with Inter-SSD Compute Resource Sharing Yi, Shushu An, Yuda Peng, Li Pan, Xiurui Li, Qiao Yin, Jieming Zhang, Guangyan Wu, Wenfei Zhou, Diyu Wang, Zhenlin Wang, Xiaolin Luo, Yingwei Zhou, Ke Zhang, Jie Operating Systems Enterprise SSDs integrate numerous computing resources (e.g., ARM processor and onboard DRAM) to satisfy the ever-increasing performance requirements of I/O bursts. While these resources substantially elevate the monetary costs of SSDs, the sporadic nature of I/O bursts causes severe SSD resource underutilization in just a bunch of flash (JBOF) level. Tackling this challenge, we propose XBOF, a cost-efficient JBOF design, which only reserves moderate computing resources in SSDs at low monetary cost, while achieving demanded I/O performance through efficient inter-SSD resource sharing. Specifically, XBOF first disaggregates SSD architecture into multiple disjoint parts based on their functionality, enabling fine-grained SSD internal resource management. XBOF then employs a decentralized scheme to manage these disaggregated resources and harvests the computing resources of idle SSDs to assist busy SSDs in handling I/O bursts. This idea is facilitated by the cache-coherent capability of Compute eXpress Link (CXL), with which the busy SSDs can directly utilize the harvested computing resources to accelerate metadata processing. The evaluation results show that XBOF improves SSD resource utilization by 50.4% and saves 19.0% monetary costs with a negligible performance loss, compared to existing JBOF designs. |
| title | XBOF: A Cost-Efficient CXL JBOF with Inter-SSD Compute Resource Sharing |
| topic | Operating Systems |
| url | https://arxiv.org/abs/2509.10251 |