{"id":"https://openalex.org/W3216227053","doi":"https://doi.org/10.1109/mascots53633.2021.9614295","title":"OLTP In Real Life: A Large-scale Study of Database Behavior in Modern Online Retail","display_name":"OLTP In Real Life: A Large-scale Study of Database Behavior in Modern Online Retail","publication_year":2021,"publication_date":"2021-11-03","ids":{"openalex":"https://openalex.org/W3216227053","doi":"https://doi.org/10.1109/mascots53633.2021.9614295","mag":"3216227053"},"language":"en","primary_location":{"id":"doi:10.1109/mascots53633.2021.9614295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mascots53633.2021.9614295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)","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/A5041608911","display_name":"Nosayba El-Sayed","orcid":null},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nosayba El-Sayed","raw_affiliation_strings":["Emory University"],"affiliations":[{"raw_affiliation_string":"Emory University","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053032316","display_name":"Zhuoran Sun","orcid":"https://orcid.org/0000-0001-9509-6399"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhuoran Sun","raw_affiliation_strings":["Truist Securities"],"affiliations":[{"raw_affiliation_string":"Truist Securities","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087258551","display_name":"Ke Sun","orcid":"https://orcid.org/0000-0001-9563-1398"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ke Sun","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025496142","display_name":"Ricardo Mayerhofer","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ricardo Mayerhofer","raw_affiliation_strings":["Hopara Inc"],"affiliations":[{"raw_affiliation_string":"Hopara Inc","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041608911"],"corresponding_institution_ids":["https://openalex.org/I150468666"],"apc_list":null,"apc_paid":null,"fwci":0.8262,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79855412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.995199978351593,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9943000078201294,"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/online-transaction-processing","display_name":"Online transaction processing","score":0.9705777168273926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7453171014785767},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.6964266896247864},{"id":"https://openalex.org/keywords/transaction-processing","display_name":"Transaction processing","score":0.6148157119750977},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5684553384780884},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.5528773069381714},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5401327610015869},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.44133251905441284},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4274753928184509},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.42732110619544983},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4225849211215973},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.3459532856941223},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.157650887966156},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09156444668769836}],"concepts":[{"id":"https://openalex.org/C191087605","wikidata":"https://www.wikidata.org/wiki/Q1501395","display_name":"Online transaction processing","level":4,"score":0.9705777168273926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7453171014785767},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.6964266896247864},{"id":"https://openalex.org/C72108876","wikidata":"https://www.wikidata.org/wiki/Q844565","display_name":"Transaction processing","level":3,"score":0.6148157119750977},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5684553384780884},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.5528773069381714},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5401327610015869},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.44133251905441284},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4274753928184509},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.42732110619544983},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4225849211215973},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.3459532856941223},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.157650887966156},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09156444668769836},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mascots53633.2021.9614295","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mascots53633.2021.9614295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 29th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)","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/W6318017","https://openalex.org/W1998510557","https://openalex.org/W2004618474","https://openalex.org/W2034803835","https://openalex.org/W2057355353","https://openalex.org/W2068647313","https://openalex.org/W2070317073","https://openalex.org/W2071009745","https://openalex.org/W2089664152","https://openalex.org/W2095192766","https://openalex.org/W2099235330","https://openalex.org/W2127804914","https://openalex.org/W2129424879","https://openalex.org/W2133741724","https://openalex.org/W2149160185","https://openalex.org/W2151449617","https://openalex.org/W2153896652","https://openalex.org/W2171262421","https://openalex.org/W2240667924","https://openalex.org/W2293982609","https://openalex.org/W2296750577","https://openalex.org/W2307370987","https://openalex.org/W2798600397","https://openalex.org/W2799015892","https://openalex.org/W2910209597","https://openalex.org/W2921856500","https://openalex.org/W3003349084","https://openalex.org/W3014919640","https://openalex.org/W4236053521","https://openalex.org/W4255375128","https://openalex.org/W6600254908","https://openalex.org/W6697712170","https://openalex.org/W6698561922"],"related_works":["https://openalex.org/W3166336118","https://openalex.org/W1575027207","https://openalex.org/W1487822231","https://openalex.org/W2989435254","https://openalex.org/W4235259909","https://openalex.org/W2937922288","https://openalex.org/W2929716001","https://openalex.org/W1820952504","https://openalex.org/W2439673131","https://openalex.org/W2752172339"],"abstract_inverted_index":{"E-commerce":[0],"is":[1,42,108],"a":[2,8,22,145,217],"multi-trillion":[3],"US":[4],"dollar":[5],"industry":[6],"and":[7,70,92,104,193,232,237,253],"major":[9],"user":[10],"of":[11,25,45,89,123,142,161,177],"online":[12,37,147,168],"transaction":[13,90,238],"processing":[14],"(OLTP)":[15],"systems.":[16],"Yet,":[17],"we":[18,183,221,241],"do":[19],"not":[20,109],"have":[21],"good":[23],"understanding":[24],"the":[26,43,74,119,166,185,208,211],"real-world":[27],"properties":[28],"that":[29,188,195,213],"characterize":[30],"hardware":[31,162,251],"usage":[32],"in":[33,67,83,94,126,149,170,198,207,250],"database":[34],"systems":[35,69,107,125,179,247],"serving":[36,180],"retail.":[38,181],"One":[39],"key":[40],"reason":[41],"difficulty":[44],"obtaining":[46],"monitoring":[47],"logs":[48,143,163],"from":[49,131,144,164,203],"production":[50],"retail":[51,200,230],"datacenters,":[52],"as":[53],"large":[54,133,146],"retailers":[55],"typically":[56],"consider":[57],"such":[58],"data":[59,192],"to":[60,79,86,102],"be":[61],"highly":[62],"sensitive.":[63],"Additionally,":[64],"resource-usage":[65,225],"patterns":[66,226],"OLTP":[68,95,124,246],"their":[71],"correlations":[72],"with":[73,228,234],"workload":[75,235],"are":[76],"generally":[77],"challenging":[78],"model":[80],"(not":[81],"just":[82],"retail),":[84],"due":[85],"high":[87],"levels":[88],"concurrency":[91],"complexity":[93],"applications.":[96],"Relying":[97],"on":[98],"synthetic":[99],"benchmarks":[100],"alone":[101],"simulate":[103],"study":[105,122],"these":[106,224],"sufficient.":[110],"Instead,":[111],"this":[112],"paper":[113],"takes":[114],"an":[115],"empirical":[116],"approach.We":[117],"present":[118],"first":[120,136],"large-scale":[121],"real":[127,178],"life,":[128],"using":[129],"traces":[130],"two":[132],"retailers.":[134],"The":[135,155],"trace":[137,157],"represents":[138,158],"six":[139],"months":[140],"worth":[141],"retailer":[148,169],"Latin":[150],"America,":[151],"B2W":[152],"Digital":[153],"(B2W).":[154],"second":[156],"8":[159],"days":[160],"Alibaba,":[165],"largest":[167],"China.":[171],"Our":[172],"analysis":[173],"reveals":[174],"important":[175],"characteristics":[176],"First,":[182],"identify":[184],"statistical":[186],"distributions":[187],"best":[189],"fit":[190],"hardware-usage":[191],"find":[194],"system":[196],"behavior":[197],"modern":[199],"workloads":[201],"departs":[202],"certain":[204],"conventional":[205],"assumptions":[206],"literature,":[209],"particularly":[210],"assumption":[212],"resource":[214],"utilization":[215],"follows":[216],"\u2018heavy-tailed\u2019":[218],"distribution.":[219],"Next,":[220],"examine":[222],"how":[223],"change":[227],"different":[229],"seasons":[231],"correlate":[233],"demand":[236],"type.":[239],"Finally,":[240],"discuss":[242],"practical":[243],"implications":[244],"for":[245],"management,":[248],"specifically":[249],"provisioning":[252],"capacity":[254],"planning.":[255]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}