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Data"],"published-print":{"date-parts":[[2024,10,1]]},"abstract":"<jats:p>\n                    We use machine learning to optimize LSM-tree structure, aiming to reduce the cost of processing various read\/write operations. We introduce a new approach CAMAL, which boasts the following features: (1)\n                    <jats:bold>ML-Aided<\/jats:bold>\n                    : CAMAL is the first attempt to apply active learning to tune LSM-tree based key-value stores. The learning process is coupled with traditional cost models to improve the training process; (2)\n                    <jats:bold>Decoupled Active Learning<\/jats:bold>\n                    : backed by rigorous analysis, CAMAL adopts active learning paradigm based on a decoupled tuning of each parameter, which further accelerates the learning process; (3)\n                    <jats:bold>Easy Extrapolation<\/jats:bold>\n                    : CAMAL adopts an effective mechanism to incrementally update the model with the growth of the data size; (4)\n                    <jats:bold>Dynamic Mode<\/jats:bold>\n                    : CAMAL is able to tune LSM-tree online under dynamically changing workloads; (5)\n                    <jats:bold>Significant System Improvement<\/jats:bold>\n                    : By integrating CAMAL into a full system RocksDB, the system performance improves by 28% on average and up to 8x compared to a state-of-the-art RocksDB design.\n                  <\/jats:p>","DOI":"10.1145\/3677138","type":"journal-article","created":{"date-parts":[[2024,9,30]],"date-time":"2024-09-30T17:41:44Z","timestamp":1727718104000},"page":"1-26","source":"Crossref","is-referenced-by-count":11,"title":["CAMAL: Optimizing LSM-trees via Active Learning"],"prefix":"10.1145","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-6817-1156","authenticated-orcid":false,"given":"Weiping","family":"Yu","sequence":"first","affiliation":[{"name":"Nanyang Technological University, Singapore, SG"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8197-0903","authenticated-orcid":false,"given":"Siqiang","family":"Luo","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, SG"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0423-4459","authenticated-orcid":false,"given":"Zihao","family":"Yu","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, SG"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4430-6373","authenticated-orcid":false,"given":"Gao","family":"Cong","sequence":"additional","affiliation":[{"name":"Nanyang Technological Univesity, Singapore, SG"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,9,30]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"http:\/\/hbase.apache.org\/. 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