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However, under disaggregated memory, existing hash indexes suffer from write performance degradation due to high resize overhead and concurrency control overhead. Traditional write-optimized hash indexes are not efficient for disaggregated memory and sacrifice read performance.<\/jats:p>\n          <jats:p>In this paper, we propose SepHash, a write-optimized hash index for disaggregated memory. First, SepHash proposes a two-level separate segment structure that significantly reduces the bandwidth consumption of resize operations. Second, SepHash employs a low-latency concurrency control strategy to eliminate unnecessary mutual exclusion and check overhead during insert operations. Finally, SepHash designs an efficient cache and filter to accelerate read operations. The evaluation results show that, compared to state-of-the-art distributed hash indexes, SepHash achieves a 3.3X higher write performance while maintaining comparable read performance.<\/jats:p>","DOI":"10.14778\/3641204.3641218","type":"journal-article","created":{"date-parts":[[2024,5,2]],"date-time":"2024-05-02T22:05:43Z","timestamp":1714687543000},"page":"1091-1104","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["SepHash: A Write-Optimized Hash Index On Disaggregated Memory via Separate Segment Structure"],"prefix":"10.14778","volume":"17","author":[{"given":"Xinhao","family":"Min","sequence":"first","affiliation":[{"name":"Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Lu","sequence":"additional","affiliation":[{"name":"Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pengyu","family":"Liu","sequence":"additional","affiliation":[{"name":"Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technolog"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiguang","family":"Wan","sequence":"additional","affiliation":[{"name":"Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technolog"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Changsheng","family":"Xie","sequence":"additional","affiliation":[{"name":"Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technolog"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daohui","family":"Wang","sequence":"additional","affiliation":[{"name":"Huawei Cloud"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Yao","sequence":"additional","affiliation":[{"name":"Huawei Cloud"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huatao","family":"Wu","sequence":"additional","affiliation":[{"name":"Huawei Cloud"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,5,2]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"2023. 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