{"id":"https://openalex.org/W4411403399","doi":"https://doi.org/10.1145/3725353","title":"<i>Serf</i> : Streaming Error-Bounded Floating-Point Compression","display_name":"<i>Serf</i> : Streaming Error-Bounded Floating-Point Compression","publication_year":2025,"publication_date":"2025-06-17","ids":{"openalex":"https://openalex.org/W4411403399","doi":"https://doi.org/10.1145/3725353"},"language":"en","primary_location":{"id":"doi:10.1145/3725353","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725353","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109067573","display_name":"Ruiyuan Li","orcid":"https://orcid.org/0000-0002-6481-0657"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiyuan Li","raw_affiliation_strings":["Chongqing University, Chongqing, China and Start Lab, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-6481-0657","affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China and Start Lab, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zechao Chen","orcid":"https://orcid.org/0009-0009-0340-4450"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zechao Chen","raw_affiliation_strings":["Chongqing University, Chongqing, China and Start Lab, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0009-0340-4450","affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China and Start Lab, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ruyun Lu","orcid":"https://orcid.org/0009-0009-3460-2003"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruyun Lu","raw_affiliation_strings":["Chongqing University, Chongqing University, China and Start Lab, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0009-3460-2003","affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing University, China and Start Lab, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiaolong Xu","orcid":"https://orcid.org/0009-0006-9012-8703"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Xu","raw_affiliation_strings":["Chongqing University, Chongqing, China and Start Lab, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0006-9012-8703","affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China and Start Lab, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102864464","display_name":"Guangchao Yang","orcid":"https://orcid.org/0000-0002-5309-0105"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangchao Yang","raw_affiliation_strings":["Chongqing University, Chongqing, China and Start Lab, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-5309-0105","affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China and Start Lab, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100408399","display_name":"Chao Chen","orcid":"https://orcid.org/0000-0003-2094-9734"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Chen","raw_affiliation_strings":["Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0003-2094-9734","affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081699807","display_name":"Jie Bao","orcid":"https://orcid.org/0000-0002-7011-990X"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Bao","raw_affiliation_strings":["JD iCity and JD Intelligent Cities Research, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7011-990X","affiliations":[{"raw_affiliation_string":"JD iCity and JD Intelligent Cities Research, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100681023","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-5224-4344"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["JD iCity and JD Intelligent Cities Research, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5224-4344","affiliations":[{"raw_affiliation_string":"JD iCity and JD Intelligent Cities Research, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.584,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.95536279,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"3","issue":"3","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.7343341112136841},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.6814432144165039},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6589694023132324},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.586075484752655},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48892369866371155},{"id":"https://openalex.org/keywords/floating-point","display_name":"Floating point","score":0.4822617173194885},{"id":"https://openalex.org/keywords/compression-ratio","display_name":"Compression ratio","score":0.41535061597824097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11544716358184814}],"concepts":[{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.7343341112136841},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.6814432144165039},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6589694023132324},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.586075484752655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48892369866371155},{"id":"https://openalex.org/C84211073","wikidata":"https://www.wikidata.org/wiki/Q117879","display_name":"Floating point","level":2,"score":0.4822617173194885},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.41535061597824097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11544716358184814},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C511840579","wikidata":"https://www.wikidata.org/wiki/Q12757","display_name":"Internal combustion engine","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3725353","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3725353","pdf_url":null,"source":{"id":"https://openalex.org/S4387289859","display_name":"Proceedings of the ACM on Management of Data","issn_l":"2836-6573","issn":["2836-6573"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Management of Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G2873110183","display_name":null,"funder_award_id":"62202070, 62322601","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G4058522258","display_name":null,"funder_award_id":"2022M720567","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G7518198706","display_name":null,"funder_award_id":"2024IAIS-QN017","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1978010829","https://openalex.org/W1989037929","https://openalex.org/W2007537968","https://openalex.org/W2031674781","https://openalex.org/W2033201837","https://openalex.org/W2042591571","https://openalex.org/W2107745473","https://openalex.org/W2109289209","https://openalex.org/W2110455446","https://openalex.org/W2123257880","https://openalex.org/W2128777897","https://openalex.org/W2149562358","https://openalex.org/W2204310803","https://openalex.org/W2294581520","https://openalex.org/W2303422468","https://openalex.org/W2625759119","https://openalex.org/W2886377182","https://openalex.org/W2889158314","https://openalex.org/W2899412261","https://openalex.org/W2923537944","https://openalex.org/W3008637447","https://openalex.org/W3023546904","https://openalex.org/W3030151998","https://openalex.org/W3037979316","https://openalex.org/W3086558596","https://openalex.org/W3098592065","https://openalex.org/W3147178137","https://openalex.org/W3149954208","https://openalex.org/W3174738244","https://openalex.org/W3185231044","https://openalex.org/W3188554269","https://openalex.org/W3192880923","https://openalex.org/W3198189630","https://openalex.org/W4226076355","https://openalex.org/W4242353006","https://openalex.org/W4283766928","https://openalex.org/W4311475647","https://openalex.org/W4312429406","https://openalex.org/W4321448356","https://openalex.org/W4362496618","https://openalex.org/W4375928371","https://openalex.org/W4380433174","https://openalex.org/W4381621963","https://openalex.org/W4388031340","https://openalex.org/W4389609974","https://openalex.org/W4389628091","https://openalex.org/W4396601697","https://openalex.org/W4400909529","https://openalex.org/W6838539104","https://openalex.org/W6891698815","https://openalex.org/W6947880298","https://openalex.org/W6966720779","https://openalex.org/W6966911819"],"related_works":["https://openalex.org/W2385628723","https://openalex.org/W2547124190","https://openalex.org/W3180760233","https://openalex.org/W3035703949","https://openalex.org/W4247601675","https://openalex.org/W1970394887","https://openalex.org/W755971114","https://openalex.org/W2118338613","https://openalex.org/W1982468865","https://openalex.org/W3080614128"],"abstract_inverted_index":{"In":[0,68],"IoT":[1],"(Internet":[2],"of":[3,124,139,178],"Things)":[4],"scenarios,":[5],"massive":[6],"floating-point":[7,39,93,112],"time":[8,245],"series":[9],"data":[10,35,131],"are":[11,42,66],"generated":[12],"in":[13,225],"a":[14,129,145,171,185,192],"streaming":[15,54,186,226],"manner":[16],"and":[17,86,98,143,196,216],"transmitted":[18],"within":[19],"limited":[20],"bandwidth":[21,248],"for":[22,44,53,151],"real-time":[23],"analysis.":[24],"To":[25,119,164],"enhance":[26,120],"the":[27,34,73,101,109,116,121,136,140,166,176,198,233,242,247],"efficiency,":[28,168],"it":[29],"is":[30,108,249],"acknowledged":[31],"to":[32,134,149,174,201],"compress":[33],"before":[36],"transmission.":[37],"Existing":[38],"compression":[40,46,56,61,78,113,122,167,220],"methods":[41,200],"either":[43],"batched":[45],"that":[47,57,155,238],"may":[48],"cause":[49],"long":[50],"delays,":[51],"or":[52],"lossless":[55],"has":[58,82],"an":[59,96,152,157],"unsatisfactory":[60],"ratio":[62,123],"when":[63,246],"certain":[64],"errors":[65],"allowed.":[67],"this":[69],"paper,":[70],"we":[71,127,169],"propose":[72,128,170],"first":[74,90,110],"&lt;u&gt;S&lt;/u&gt;treaming":[75],"&lt;u&gt;ER&lt;/u&gt;ror-bounded":[76],"&lt;u&gt;F&lt;/u&gt;loating-point":[77],"Serf":[79],",":[80,126],"which":[81],"two":[83],"implementations:":[84],"Serf-Qt":[85,89,215],"Serf-XOR":[87,107,125,217,239],".":[88],"quantizes":[91],"each":[92],"value":[94,154,159],"into":[95],"integer,":[97],"then":[99],"encodes":[100],"integer":[102],"with":[103,160,211,222],"Elias":[104],"gamma":[105],"coding.":[106],"lossy":[111],"based":[114,190,231],"on":[115,191,232],"XORing":[117],"operation.":[118],"novel":[130,146],"offset":[132],"technique":[133,148],"increase":[135],"leading":[137],"zeros":[138],"XORed":[141,158],"values,":[142],"design":[144],"approximation":[147],"search":[150],"error-qualified":[153],"produces":[156],"many":[161],"trailing":[162],"zeros.":[163],"improve":[165],"pruning":[172],"strategy":[173],"accelerate":[175],"process":[177],"approximated":[179],"values":[180],"search.":[181],"We":[182],"further":[183],"build":[184],"transmission":[187,229],"prototype":[188],"system":[189,235],"real":[193],"development":[194],"board,":[195],"deploy":[197],"proposed":[199,234],"it.":[202],"Extensive":[203],"experiments":[204,230],"using":[205],"13":[206],"datasets":[207],"show":[208],"that,":[209],"compared":[210],"17":[212],"competitors,":[213],"both":[214],"enjoy":[218],"remarkable":[219],"ratios":[221],"high":[223],"efficiency":[224],"scenarios.":[227],"The":[228],"also":[236],"showcase":[237],"always":[240],"takes":[241],"least":[243],"overall":[244],"limited.":[250]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
