FusionFS: A Contention-Resilient File System for Persistent CPU Caches Article Swipe
Congyong Chen
,
Shengan Zheng
,
Yuhang Zhang
,
Linpeng Huang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1145/3719656
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1145/3719656
Byte-addressable storage (BAS), such as persistent memory and CXL-SSDs, does not meet system designers’ expectations for data flushing and access granularity. Persistent CPU caches, enabled by recent techniques like Intel’s eADR and CXL’s Global Persistent Flush, can mitigate these issues without sacrificing consistency. However, the shared nature of CPU caches can lead to cache contention, which can result in cached data being frequently evicted to the BAS and reloaded into caches, negating the benefits of caching. If the BAS write granularity is larger than the cacheline eviction granularity, this can also lead to severe write amplification. In this article, we identify, characterize, and propose solutions to the problem of contention in persistent CPU caches, which is largely overlooked by existing systems. These systems either simply assume that cached data is hot enough to survive cache evictions or use unsupported cache allocation techniques without testing their effectiveness. We also present FusionFS, a contention-resilient kernel file system that uses persistent CPU caches to redesign data update approaches. FusionFS employs an adaptive data update approach that chooses the most effective mechanism based on file access patterns during system calls and memory mapping accesses, minimizing BAS media writes and improving throughput. FusionFS also employs contention-aware cache allocation to minimize various types of cache contention. Experimental results show that FusionFS outperforms existing file systems and effectively mitigates various types of cache contention.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3719656
- https://dl.acm.org/doi/pdf/10.1145/3719656
- OA Status
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- References
- 32
- Related Works
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- OpenAlex ID
- https://openalex.org/W4407974256
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4407974256Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1145/3719656Digital Object Identifier
- Title
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FusionFS: A Contention-Resilient File System for Persistent CPU CachesWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-02-26Full publication date if available
- Authors
-
Congyong Chen, Shengan Zheng, Yuhang Zhang, Linpeng HuangList of authors in order
- Landing page
-
https://doi.org/10.1145/3719656Publisher landing page
- PDF URL
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https://dl.acm.org/doi/pdf/10.1145/3719656Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://dl.acm.org/doi/pdf/10.1145/3719656Direct OA link when available
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Computer science, Operating system, Parallel computing, File system, Embedded systemTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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32Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.patterns | 182 |
| abstract_inverted_index.redesign | 161 |
| abstract_inverted_index.reloaded | 68 |
| abstract_inverted_index.systems. | 120 |
| abstract_inverted_index.CXL-SSDs, | 8 |
| abstract_inverted_index.FusionFS, | 149 |
| abstract_inverted_index.Intel’s | 29 |
| abstract_inverted_index.accesses, | 189 |
| abstract_inverted_index.cacheline | 85 |
| abstract_inverted_index.effective | 176 |
| abstract_inverted_index.evictions | 135 |
| abstract_inverted_index.identify, | 100 |
| abstract_inverted_index.improving | 195 |
| abstract_inverted_index.mechanism | 177 |
| abstract_inverted_index.mitigates | 221 |
| abstract_inverted_index.solutions | 104 |
| abstract_inverted_index.Persistent | 21, 34 |
| abstract_inverted_index.allocation | 140, 202 |
| abstract_inverted_index.contention | 109 |
| abstract_inverted_index.frequently | 62 |
| abstract_inverted_index.minimizing | 190 |
| abstract_inverted_index.overlooked | 117 |
| abstract_inverted_index.persistent | 5, 111, 157 |
| abstract_inverted_index.techniques | 27, 141 |
| abstract_inverted_index.approaches. | 164 |
| abstract_inverted_index.contention, | 54 |
| abstract_inverted_index.contention. | 209, 226 |
| abstract_inverted_index.effectively | 220 |
| abstract_inverted_index.granularity | 80 |
| abstract_inverted_index.outperforms | 215 |
| abstract_inverted_index.sacrificing | 41 |
| abstract_inverted_index.throughput. | 196 |
| abstract_inverted_index.unsupported | 138 |
| abstract_inverted_index.Experimental | 210 |
| abstract_inverted_index.consistency. | 42 |
| abstract_inverted_index.designers’ | 13 |
| abstract_inverted_index.expectations | 14 |
| abstract_inverted_index.granularity, | 87 |
| abstract_inverted_index.granularity. | 20 |
| abstract_inverted_index.characterize, | 101 |
| abstract_inverted_index.amplification. | 95 |
| abstract_inverted_index.effectiveness. | 145 |
| abstract_inverted_index.Byte-addressable | 0 |
| abstract_inverted_index.contention-aware | 200 |
| abstract_inverted_index.contention-resilient | 151 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.05658505 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |