{"id":"https://openalex.org/W4410772033","doi":"https://doi.org/10.1109/cacml64929.2025.11010937","title":"A High-Performance Scientific Database Supporting In-situ Data Query and Accessing","display_name":"A High-Performance Scientific Database Supporting In-situ Data Query and Accessing","publication_year":2025,"publication_date":"2025-03-28","ids":{"openalex":"https://openalex.org/W4410772033","doi":"https://doi.org/10.1109/cacml64929.2025.11010937"},"language":"en","primary_location":{"id":"doi:10.1109/cacml64929.2025.11010937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cacml64929.2025.11010937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 4th Asia Conference on Algorithms, Computing and Machine Learning (CACML)","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":null,"display_name":"Lingbo Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lingbo Peng","raw_affiliation_strings":["Sun Yat-Sen University,School of Computer Science and Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101483480","display_name":"Zhiguang Chen","orcid":"https://orcid.org/0009-0008-1103-8617"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguang Chen","raw_affiliation_strings":["Sun Yat-Sen University,School of Computer Science and Engineering,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University,School of Computer Science and Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":3.7121,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.93324842,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.8719000220298767,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.8719000220298767,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.8058000206947327,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.781000018119812,"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/computer-science","display_name":"Computer science","score":0.7936543226242065},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5886836051940918},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.46341270208358765},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.459094375371933},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3957812488079071},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.264198899269104}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7936543226242065},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5886836051940918},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.46341270208358765},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.459094375371933},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3957812488079071},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.264198899269104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cacml64929.2025.11010937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cacml64929.2025.11010937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 4th Asia Conference on Algorithms, Computing and Machine Learning (CACML)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2024447534","https://openalex.org/W2119425792","https://openalex.org/W2910730299","https://openalex.org/W3018551295","https://openalex.org/W4200608270","https://openalex.org/W4205159944","https://openalex.org/W4239273946","https://openalex.org/W4255821617","https://openalex.org/W4308834828","https://openalex.org/W4388464011","https://openalex.org/W4406460395","https://openalex.org/W6606545321","https://openalex.org/W6770119468"],"related_works":["https://openalex.org/W2379847823","https://openalex.org/W2554271401","https://openalex.org/W2363222923","https://openalex.org/W2372649518","https://openalex.org/W2371929047","https://openalex.org/W2374912898","https://openalex.org/W2003701127","https://openalex.org/W2375340541","https://openalex.org/W2359315734","https://openalex.org/W2249768123"],"abstract_inverted_index":{"Scientific":[0],"databases":[1,29,54,58],"have":[2],"become":[3],"an":[4,144],"increasingly":[5],"popular":[6],"and":[7,16,60,155,171,207,213],"important":[8],"asset":[9],"in":[10,66,100,209],"cloud":[11],"computing,":[12],"HPC,":[13],"big":[14],"data,":[15,116],"AI,":[17],"which":[18],"many":[19],"applications":[20,33],"rely":[21],"on.":[22],"The":[23],"performance":[24],"of":[25,39],"querying":[26],"on":[27,44,46,74,137],"scientific":[28,53],"is":[30],"crucial":[31],"as":[32,95],"frequently":[34],"select":[35],"a":[36,130,151,181],"specific":[37],"subset":[38],"the":[40,75,82,88,96,105,109,119,164,199],"database":[41],"to":[42,108,159,189],"work":[43],"based":[45],"certain":[47],"attribute":[48,147,173],"values.":[49],"Current":[50],"solutions":[51],"support":[52],"by":[55,205],"combining":[56],"relational":[57],"(RDB)":[59],"distributed":[61],"file":[62,93,102,131,138,165],"systems":[63],"(DFS).":[64],"However,":[65],"production":[67,83,110],"environments,":[68],"they":[69],"usually":[70],"cannot":[71],"be":[72],"collocated":[73],"same":[76],"cluster.":[77],"To":[78,123],"make":[79],"matters":[80],"worse,":[81],"DFS\u2019s":[84],"dynamic":[85],"namespace":[86],"prevents":[87],"RDB":[89,106],"from":[90,104],"storing":[91],"DFS":[92,111],"paths":[94],"value.":[97],"This":[98],"results":[99],"remote":[101,203],"copying":[103],"server":[107],"where":[112],"computation":[113],"programs":[114],"load":[115],"greatly":[117],"limiting":[118],"system\u2019s":[120],"overall":[121],"performance.":[122,193],"this":[124,126],"end,":[125],"paper":[127],"presents":[128],"SEAFS,":[129],"system":[132,166],"that":[133,196],"supports":[134,177],"efficient":[135],"searching":[136,179,212,215],"extended":[139],"attributes.":[140],"First,":[141],"SEAFS":[142,176,197],"proposes":[143],"integrated":[145],"indexed":[146],"storage":[148,170],"scheme":[149],"using":[150,185],"three-level":[152],"search":[153],"tree":[154],"weak":[156],"link":[157],"semantics":[158],"organize":[160],"attributes":[161],"directly":[162],"within":[163],"namespace,":[167],"enabling":[168],"redundancy-free":[169],"rapid":[172],"searching.":[174],"Second,":[175],"fuzzy":[178,214],"with":[180],"per-attribute":[182],"dedicated":[183],"index":[184],"general":[186],"suffix":[187],"automata":[188],"provide":[190],"optimized":[191],"matching":[192],"Evaluations":[194],"demonstrate":[195],"outperforms":[198],"current":[200],"solution":[201],"(without":[202],"copying)":[204],"25.98\u201379.40\u00d7":[206],"2.58\u20132271\u00d7":[208],"multi-threaded":[210],"precise":[211],"respectively.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}