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Storage"],"published-print":{"date-parts":[[2024,2,29]]},"abstract":"<jats:p>\n            The conventional file system provides a hierarchical namespace by structuring it as a directory tree. Tree-based namespace structure leads to inefficient file path walk and expensive namespace tree traversal, underutilizing ultra-low access latency and superior sequential performance provided by non-volatile memories (NVMs). This article proposes FlatFS+, an NVM file system that features a flat namespace architecture while providing a compatible hierarchical namespace view. FlatFS+ incorporates three novel techniques: the direct file path walk model, range-optimized\n            <jats:italic>B<\/jats:italic>\n            <jats:sup>\n              <jats:italic>r<\/jats:italic>\n            <\/jats:sup>\n            tree, and compressed index key design with scan and write dual optimization, to fully exploit flat namespace to improve file system metadata performance on ultra-fast, byte-addressable NVMs. Evaluation results demonstrate that FlatFS+ achieves significant performance improvements for metadata-intensive benchmarks and real-world applications compared to other file systems.\n          <\/jats:p>","DOI":"10.1145\/3620673","type":"journal-article","created":{"date-parts":[[2023,9,6]],"date-time":"2023-09-06T11:04:55Z","timestamp":1693998295000},"page":"1-47","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Exploiting Flat Namespace to Improve File System Metadata Performance on Ultra-Fast, Byte-Addressable NVMs"],"prefix":"10.1145","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1707-4025","authenticated-orcid":false,"given":"Miao","family":"Cai","sequence":"first","affiliation":[{"name":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, School of Computer and Information, Hohai University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9551-0705","authenticated-orcid":false,"given":"Junru","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Computer and Information, Hohai University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4577-8882","authenticated-orcid":false,"given":"Bin","family":"Tang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Water Big Data Technology of Ministry of Water Resources, School of Computer and Information, Hohai University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7160-0483","authenticated-orcid":false,"given":"Hao","family":"Huang","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1065-449X","authenticated-orcid":false,"given":"Baoliu","family":"Ye","sequence":"additional","affiliation":[{"name":"State Key Laboratory for Novel Software Technology, Nanjing University; Key Laboratory of Water Big Data Technology of Ministry of Water Resources, School of Computer and Information, Hohai University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,1,30]]},"reference":[{"key":"e_1_3_3_2_2","unstructured":"Intel. 2015. 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