{"id":"https://openalex.org/W1983022381","doi":"https://doi.org/10.1145/2245276.2232034","title":"HotDataTrap","display_name":"HotDataTrap","publication_year":2012,"publication_date":"2012-03-26","ids":{"openalex":"https://openalex.org/W1983022381","doi":"https://doi.org/10.1145/2245276.2232034","mag":"1983022381"},"language":"en","primary_location":{"id":"doi:10.1145/2245276.2232034","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2245276.2232034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-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/A5059104575","display_name":"Dongchul Park","orcid":"https://orcid.org/0000-0001-6553-7448"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]},{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dongchul Park","raw_affiliation_strings":["University of Minnesota, Twin Cities"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Twin Cities","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046274165","display_name":"Biplob Debnath","orcid":"https://orcid.org/0009-0006-6932-0311"},"institutions":[{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]},{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Biplob Debnath","raw_affiliation_strings":["University of Minnesota, Twin Cities"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Twin Cities","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048497816","display_name":"Young-Jin Nam","orcid":"https://orcid.org/0000-0002-8532-026X"},"institutions":[{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]},{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Youngjin Nam","raw_affiliation_strings":["University of Minnesota, Twin Cities"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Twin Cities","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004446054","display_name":"David H. C. Du","orcid":"https://orcid.org/0009-0000-6244-1336"},"institutions":[{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]},{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David H. C. Du","raw_affiliation_strings":["University of Minnesota, Twin Cities"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Twin Cities","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101492846","display_name":"Young\u2010Kyun Kim","orcid":"https://orcid.org/0000-0002-7463-1759"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngkyun Kim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (ETRI), Korea"],"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI), Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101832670","display_name":"Young\u2010Chul Kim","orcid":"https://orcid.org/0000-0001-9461-9514"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youngchul Kim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (ETRI), Korea"],"affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI), Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059104575"],"corresponding_institution_ids":["https://openalex.org/I130238516","https://openalex.org/I4210101327"],"apc_list":null,"apc_paid":null,"fwci":2.4822,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89120024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1610","last_page":"1617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":1.0,"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"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.8365795016288757},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.7688306570053101},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.7357338070869446},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.5467674732208252},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5123504400253296},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.4594711661338806},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.4461723268032074},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4358590841293335},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3576878309249878},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3383401334285736},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.15093696117401123},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08951076865196228}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8365795016288757},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.7688306570053101},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.7357338070869446},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.5467674732208252},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5123504400253296},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.4594711661338806},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.4461723268032074},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4358590841293335},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3576878309249878},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3383401334285736},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.15093696117401123},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08951076865196228},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2245276.2232034","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2245276.2232034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1450266291","display_name":null,"funder_award_id":"9.61E+25","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321640","display_name":"Ministry of Knowledge Economy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322065","display_name":"National IT Industry Promotion Agency","ror":"https://ror.org/026v53e29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1513366578","https://openalex.org/W1564523715","https://openalex.org/W1963830244","https://openalex.org/W1990661559","https://openalex.org/W2018763861","https://openalex.org/W2028812675","https://openalex.org/W2061367020","https://openalex.org/W2095905546","https://openalex.org/W2099294040","https://openalex.org/W2099316199","https://openalex.org/W2112479717","https://openalex.org/W2125499854","https://openalex.org/W2125812397","https://openalex.org/W2126992621","https://openalex.org/W2152164787","https://openalex.org/W2159319022","https://openalex.org/W2162522253","https://openalex.org/W2166109463","https://openalex.org/W3152210458","https://openalex.org/W6684515133"],"related_works":["https://openalex.org/W3024364549","https://openalex.org/W4206019083","https://openalex.org/W2048865712","https://openalex.org/W1976265003","https://openalex.org/W2370378377","https://openalex.org/W4237510188","https://openalex.org/W2130160813","https://openalex.org/W2054476758","https://openalex.org/W2350613701","https://openalex.org/W2130597667"],"abstract_inverted_index":{"Hot":[0],"data":[1,49,127],"identification":[2,50],"is":[3,44],"an":[4,150],"issue":[5],"of":[6,65,79,152],"paramount":[7],"importance":[8],"in":[9,97],"flash-based":[10],"storage":[11],"devices":[12],"since":[13],"it":[14,38,71],"has":[15,39],"a":[16,27,45,53,77,94,102,129],"great":[17],"impact":[18],"on":[19],"their":[20],"overall":[21],"performance":[22,165],"as":[23,25],"well":[24],"retains":[26],"big":[28],"potential":[29],"to":[30,33,61,121,167],"be":[31],"applicable":[32],"many":[34],"other":[35],"fields.":[36],"However,":[37],"been":[40],"least":[41],"investigated.":[42],"HotDataTrap":[43,60,90,120,144,164],"novel":[46],"on-line":[47],"hot":[48,126],"scheme":[51,88,118,148,160],"adopting":[52],"sampling":[54,112],"mechanism.":[55],"This":[56],"sampling-based":[57],"algorithm":[58],"enables":[59],"early":[62],"discard":[63],"some":[64],"the":[66,98,146],"cold":[67],"items":[68],"so":[69],"that":[70,142],"can":[72],"reduce":[73],"runtime":[74],"overheads":[75],"and":[76,100,114,123,154,155],"waste":[78],"memory":[80,103,132],"spaces.":[81],"Moreover,":[82],"its":[83],"two-level":[84,157],"hierarchical":[85,115],"hash":[86,116,158],"indexing":[87,117,159],"helps":[89],"directly":[91],"look":[92],"up":[93,166],"requested":[95],"item":[96],"cache":[99],"save":[101],"space":[104],"further":[105,163],"by":[106,149],"exploiting":[107],"spatial":[108],"localities.":[109],"Both":[110],"our":[111,143,156],"approach":[113],"empower":[119],"precisely":[122],"efficiently":[124],"identify":[125],"with":[128,137],"very":[130],"limited":[131],"space.":[133],"Our":[134],"extensive":[135],"experiments":[136],"various":[138],"realistic":[139],"workloads":[140],"demonstrate":[141],"outperforms":[145],"state-of-the-art":[147],"average":[151],"335%":[153],"considerably":[161],"improves":[162],"50.8%.":[168]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
