{"id":"https://openalex.org/W4402673627","doi":"https://doi.org/10.1109/e-science62913.2024.10678674","title":"Griffin: Fast Transactional Database Index with Hash and B+-Tree","display_name":"Griffin: Fast Transactional Database Index with Hash and B+-Tree","publication_year":2024,"publication_date":"2024-09-16","ids":{"openalex":"https://openalex.org/W4402673627","doi":"https://doi.org/10.1109/e-science62913.2024.10678674"},"language":"en","primary_location":{"id":"doi:10.1109/e-science62913.2024.10678674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/e-science62913.2024.10678674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on e-Science (e-Science)","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/A5048790047","display_name":"Sho Nakazono","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sho Nakazono","raw_affiliation_strings":["NTT,Computer and Data Science Laboratories,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"NTT,Computer and Data Science Laboratories,Tokyo,Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093866411","display_name":"Yutaro Bessho","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yutaro Bessho","raw_affiliation_strings":["NTT,Computer and Data Science Laboratories,Tokyo,Japan"],"affiliations":[{"raw_affiliation_string":"NTT,Computer and Data Science Laboratories,Tokyo,Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090690137","display_name":"Hideyuki Kawashima","orcid":"https://orcid.org/0000-0002-2847-1248"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideyuki Kawashima","raw_affiliation_strings":["Keio University,Faculty of Environment and Information Studies,Kanagawa,Japan"],"affiliations":[{"raw_affiliation_string":"Keio University,Faculty of Environment and Information Studies,Kanagawa,Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057474422","display_name":"Tatsuhiro Nakamori","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tatsuhiro Nakamori","raw_affiliation_strings":["Keio University,Faculty of Environment and Information Studies,Kanagawa,Japan"],"affiliations":[{"raw_affiliation_string":"Keio University,Faculty of Environment and Information Studies,Kanagawa,Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5048790047"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0878,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81439663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9696000218391418,"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":0.9696000218391418,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9569000005722046,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.948199987411499,"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":0.668636679649353},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.6655306816101074},{"id":"https://openalex.org/keywords/griffin","display_name":"Griffin","score":0.6323617696762085},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.49769118428230286},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4804772436618805},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24679917097091675},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12518441677093506},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.08358708024024963},{"id":"https://openalex.org/keywords/archaeology","display_name":"Archaeology","score":0.060521721839904785}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.668636679649353},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.6655306816101074},{"id":"https://openalex.org/C2775969163","wikidata":"https://www.wikidata.org/wiki/Q130223","display_name":"Griffin","level":2,"score":0.6323617696762085},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.49769118428230286},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4804772436618805},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24679917097091675},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12518441677093506},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.08358708024024963},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.060521721839904785}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/e-science62913.2024.10678674","is_oa":false,"landing_page_url":"https://doi.org/10.1109/e-science62913.2024.10678674","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on e-Science (e-Science)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1963674762","https://openalex.org/W1985229168","https://openalex.org/W1991199257","https://openalex.org/W2006519720","https://openalex.org/W2011395086","https://openalex.org/W2014977566","https://openalex.org/W2020129682","https://openalex.org/W2060440895","https://openalex.org/W2062678317","https://openalex.org/W2068739275","https://openalex.org/W2081447850","https://openalex.org/W2099899133","https://openalex.org/W2101939036","https://openalex.org/W2119887456","https://openalex.org/W2124105793","https://openalex.org/W2133386065","https://openalex.org/W2136651966","https://openalex.org/W2141710443","https://openalex.org/W2165663045","https://openalex.org/W2295243699","https://openalex.org/W2798418112","https://openalex.org/W2917574987","https://openalex.org/W3037277156","https://openalex.org/W3094958164","https://openalex.org/W4246281707","https://openalex.org/W4312738011","https://openalex.org/W4372258399","https://openalex.org/W4390749663","https://openalex.org/W6630139511","https://openalex.org/W6634151489","https://openalex.org/W6635900049","https://openalex.org/W6717445520","https://openalex.org/W6845805098"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4245846742","https://openalex.org/W588680182","https://openalex.org/W2093304180","https://openalex.org/W2276557871","https://openalex.org/W3024933229","https://openalex.org/W145413986","https://openalex.org/W2414931473","https://openalex.org/W3124843757"],"abstract_inverted_index":{"Index":[0],"access":[1,30,99],"is":[2,160],"one":[3,19],"of":[4,20,54,75,123,138,162],"the":[5,76,124],"dominant":[6,177,189],"performance":[7,35],"factors":[8],"in":[9,44,101,173,185],"transactional":[10],"database":[11,141],"systems.":[12],"Many":[13],"systems":[14],"use":[15],"a":[16,47,84,94,106,113,139,145,149,156,163,174,186],"B+tree":[17],"or":[18,68],"its":[21,127],"variants":[22],"to":[23,51,155,169,181],"handle":[24],"point":[25,38,90,175],"and":[26,135,152,179],"range":[27,56,187],"operations.":[28],"This":[29],"pattern":[31],"has":[32,93],"room":[33],"for":[34],"improvement.":[36],"Firstly,":[37],"operations":[39,57,134],"can":[40],"potentially":[41],"be":[42],"processed":[43],"O(1)":[45,102],"with":[46,105],"hash":[48,95,150],"table.":[49],"Secondly,":[50],"ensure":[52],"serializability":[53],"transactions,":[55],"incur":[58],"overhead":[59],"from":[60],"phantom":[61,109],"avoidance":[62],"techniques":[63],"that":[64,97,159],"involve":[65,120],"additional":[66,121],"processing":[67],"synchronization,":[69],"such":[70],"as":[71],"an":[72,136],"extra":[73],"traversal":[74,122],"B+-tree.":[77,107,125],"To":[78],"address":[79],"these":[80],"issues,":[81],"we":[82],"propose":[83],"hybrid":[85,128],"index":[86,147,158],"architecture,":[87,129],"Griffin.":[88],"For":[89,108],"operations,":[91],"Griffin":[92,111,130,146],"table":[96,151],"provides":[98,132],"paths":[100],"time,":[103],"along":[104],"avoidance,":[110],"employs":[112],"precision":[114],"locking":[115],"method,":[116],"which":[117],"does":[118],"not":[119],"Despite":[126],"transparently":[131],"linearizable":[133],"interface":[137],"single":[140],"index.":[142],"We":[143],"built":[144],"combining":[148],"BwTree.":[153],"Compared":[154],"baseline":[157],"composed":[161],"BwTree":[164],"only,":[165],"it":[166],"achieves":[167],"up":[168,180],"3.1x":[170],"higher":[171,183],"throughput":[172,184],"operation":[176,188],"workload,":[178],"5.4x":[182],"workload.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}