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This paper proposes an Erasing-based Lossless Floating-point compression algorithm, i.e.,\n            <jats:italic>Elf.<\/jats:italic>\n            The main idea of\n            <jats:italic>Elf<\/jats:italic>\n            is to erase the last few bits (i.e., set them to zero) of floating-point values, so the XORed values are supposed to contain many trailing zeros. The challenges of the erasing-based method are three-fold. First, how to quickly determine the erased bits? Second, how to losslessly recover the original data from the erased ones? Third, how to compactly encode the erased data? Through rigorous mathematical analysis,\n            <jats:italic>Elf<\/jats:italic>\n            can directly determine the erased bits and restore the original values without losing any precision. To further improve the compression ratio, we propose a novel encoding strategy for the XORed values with many trailing zeros.\n            <jats:italic>Elf<\/jats:italic>\n            works in a streaming fashion. It takes only\n            <jats:italic>O<\/jats:italic>\n            (\n            <jats:italic>N<\/jats:italic>\n            ) (where\n            <jats:italic>N<\/jats:italic>\n            is the length of a time series) in time and\n            <jats:italic>O<\/jats:italic>\n            (1) in space, and achieves a notable compression ratio with a theoretical guarantee. Extensive experiments using 22 datasets show the powerful performance of\n            <jats:italic>Elf<\/jats:italic>\n            compared with 9 advanced competitors.\n          <\/jats:p>","DOI":"10.14778\/3587136.3587149","type":"journal-article","created":{"date-parts":[[2023,5,8]],"date-time":"2023-05-08T23:11:35Z","timestamp":1683587495000},"page":"1763-1776","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":43,"title":["Elf: Erasing-Based Lossless Floating-Point Compression"],"prefix":"10.14778","volume":"16","author":[{"given":"Ruiyuan","family":"Li","sequence":"first","affiliation":[{"name":"Chongqing University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zheng","family":"Li","sequence":"additional","affiliation":[{"name":"Chongqing University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Wu","sequence":"additional","affiliation":[{"name":"Chongqing University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chao","family":"Chen","sequence":"additional","affiliation":[{"name":"Chongqing University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yu","family":"Zheng","sequence":"additional","affiliation":[{"name":"JD iCity, JD Technology, China and JD Intelligent Cities Research, China and Xidian University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,5,8]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Retrieved","year":"2023","unstructured":"2023. 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