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Archit. Code Optim."],"published-print":{"date-parts":[[2022,9,30]]},"abstract":"<jats:p>\n            The explosive growth of modern web-scale applications has made cost-effectiveness a primary design goal for their underlying databases. As a backbone of modern databases, LSM-tree based key\u2013value stores (LSM store) face limited storage options. They are either designed for local storage that is relatively small, expensive, and fast or for cloud storage that offers larger capacities at reduced costs but slower. Designing an LSM store by integrating local storage with cloud storage services is a promising way to balance the cost and performance. However, such design faces challenges such as data reorganization, metadata overhead, and reliability issues. In this article, we propose\n            <jats:sc>RocksMash<\/jats:sc>\n            , a fast and efficient LSM store that uses local storage to store frequently accessed data and metadata while using cloud to hold the rest of the data to achieve cost-effectiveness. To improve metadata space-efficiency and read performance,\n            <jats:sc>RocksMash<\/jats:sc>\n            \u00a0uses an LSM-aware persistent cache that stores metadata in a space-efficient way and stores popular data blocks by using compaction-aware layouts. Moreover,\n            <jats:sc>RocksMash<\/jats:sc>\n            \u00a0uses an extended write-ahead log for fast parallel data recovery. We implemented\n            <jats:sc>RocksMash<\/jats:sc>\n            \u00a0by embedding these designs into RocksDB. The evaluation results show that\n            <jats:sc>RocksMash<\/jats:sc>\n            \u00a0improves the performance by up to 1.7\n            <jats:inline-formula content-type=\"math\/tex\">\n              <jats:tex-math notation=\"LaTeX\" version=\"MathJax\">\\( \\times \\)<\/jats:tex-math>\n            <\/jats:inline-formula>\n            compared to the state-of-the-art schemes and delivers high reliability, cost-effectiveness, and fast recovery.\n          <\/jats:p>","DOI":"10.1145\/3527452","type":"journal-article","created":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T12:00:09Z","timestamp":1648728009000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Building a Fast and Efficient LSM-tree Store by Integrating Local Storage with Cloud Storage"],"prefix":"10.1145","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8547-5344","authenticated-orcid":false,"given":"Peng","family":"Xu","sequence":"first","affiliation":[{"name":"WNLO, Huazhong University of Science and Technology, Shenzhen, Guangdong, China"}]},{"given":"Nannan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Research and Development Institute of Northwestern Polytechnical University in Shenzhen, and School of Computer Science, Northwestern Polytechnical University, Shenzhen, Guangdong,, China"}]},{"given":"Jiguang","family":"Wan","sequence":"additional","affiliation":[{"name":"WNLO, Huazhong University of Science and Technology, and Shenzhen Huazhong University of Science and Technology Research Institute, Wuhan, Hubei, China"}]},{"given":"Wei","family":"Liu","sequence":"additional","affiliation":[{"name":"PingCAP, China"}]},{"given":"Shuning","family":"Chen","sequence":"additional","affiliation":[{"name":"PingCAP, China"}]},{"given":"Yuanhui","family":"Zhou","sequence":"additional","affiliation":[{"name":"WNLO, Huazhong University of Science and Technology, Shenzhen, Guangdong, China"}]},{"given":"Hadeel","family":"Albahar","sequence":"additional","affiliation":[{"name":"Virginia Tech and Kuwait University, Blacksburg, Virginia, USA"}]},{"given":"Hanyang","family":"Liu","sequence":"additional","affiliation":[{"name":"PingCAP, China"}]},{"given":"Liu","family":"Tang","sequence":"additional","affiliation":[{"name":"PingCAP, China"}]},{"given":"Zhihu","family":"Tan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, China"}]}],"member":"320","published-online":{"date-parts":[[2022,5,25]]},"reference":[{"key":"e_1_3_1_2_2","unstructured":"[n. d.]. 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