{"id":"https://openalex.org/W2807696278","doi":"https://doi.org/10.1145/3209950.3209956","title":"Adding Velocity to BigBench","display_name":"Adding Velocity to BigBench","publication_year":2018,"publication_date":"2018-06-05","ids":{"openalex":"https://openalex.org/W2807696278","doi":"https://doi.org/10.1145/3209950.3209956","mag":"2807696278"},"language":"en","primary_location":{"id":"doi:10.1145/3209950.3209956","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209950.3209956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Testing Database Systems","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/A5001095631","display_name":"Todor Ivanov","orcid":"https://orcid.org/0000-0002-9679-8947"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Todor Ivanov","raw_affiliation_strings":["Frankfurt Big Data Lab, Goethe University, Frankfurt am Main, Hessen, Germany"],"affiliations":[{"raw_affiliation_string":"Frankfurt Big Data Lab, Goethe University, Frankfurt am Main, Hessen, Germany","institution_ids":["https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086483652","display_name":"Patrick Bedu\u00e9","orcid":null},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick Bedu\u00e9","raw_affiliation_strings":["Frankfurt Big Data Lab, Goethe University, Frankfurt am Main, Hessen, Germany"],"affiliations":[{"raw_affiliation_string":"Frankfurt Big Data Lab, Goethe University, Frankfurt am Main, Hessen, Germany","institution_ids":["https://openalex.org/I114090438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111758876","display_name":"Ahmad Ghazal","orcid":null},"institutions":[{"id":"https://openalex.org/I4210146936","display_name":"Huawei Technologies (United States)","ror":"https://ror.org/03jyqk712","country_code":"US","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210146936"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ahmad Ghazal","raw_affiliation_strings":["Futurewei Technologies Inc., Santa Clara, CA, USA"],"affiliations":[{"raw_affiliation_string":"Futurewei Technologies Inc., Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210146936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028019884","display_name":"Roberto V. Zicari","orcid":"https://orcid.org/0000-0003-2792-9162"},"institutions":[{"id":"https://openalex.org/I114090438","display_name":"Goethe University Frankfurt","ror":"https://ror.org/04cvxnb49","country_code":"DE","type":"education","lineage":["https://openalex.org/I114090438"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Roberto V. Zicari","raw_affiliation_strings":["Frankfurt Big Data Lab, Goethe University, Frankfurt am Main, Hessen, Germany"],"affiliations":[{"raw_affiliation_string":"Frankfurt Big Data Lab, Goethe University, Frankfurt am Main, Hessen, Germany","institution_ids":["https://openalex.org/I114090438"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001095631"],"corresponding_institution_ids":["https://openalex.org/I114090438"],"apc_list":null,"apc_paid":null,"fwci":0.3691,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63169664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9973999857902527,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9973999857902527,"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":0.9958000183105469,"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/T11106","display_name":"Data Management and Algorithms","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8369581699371338},{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.7930629253387451},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7458909153938293},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.690558671951294},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.6464506387710571},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5990371704101562},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.593288779258728},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5922553539276123},{"id":"https://openalex.org/keywords/json","display_name":"JSON","score":0.5669274926185608},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.48532620072364807},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4649817645549774},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.46257901191711426},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.45956236124038696},{"id":"https://openalex.org/keywords/batch-processing","display_name":"Batch processing","score":0.45780065655708313},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4342527687549591},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4136647582054138},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3260851204395294},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3043261170387268},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.20416364073753357},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10514980554580688}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8369581699371338},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.7930629253387451},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7458909153938293},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.690558671951294},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.6464506387710571},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5990371704101562},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.593288779258728},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5922553539276123},{"id":"https://openalex.org/C2780416260","wikidata":"https://www.wikidata.org/wiki/Q2063","display_name":"JSON","level":2,"score":0.5669274926185608},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.48532620072364807},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4649817645549774},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.46257901191711426},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.45956236124038696},{"id":"https://openalex.org/C172658912","wikidata":"https://www.wikidata.org/wiki/Q661613","display_name":"Batch processing","level":2,"score":0.45780065655708313},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4342527687549591},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4136647582054138},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3260851204395294},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3043261170387268},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.20416364073753357},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10514980554580688},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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:10.1145/3209950.3209956","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3209950.3209956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Workshop on Testing Database Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1976821017","https://openalex.org/W1991532004","https://openalex.org/W2010250346","https://openalex.org/W2040728701","https://openalex.org/W2052312648","https://openalex.org/W2112215401","https://openalex.org/W2128362607","https://openalex.org/W2153972927","https://openalex.org/W2155072926","https://openalex.org/W2460931878","https://openalex.org/W2481195518","https://openalex.org/W2486439025","https://openalex.org/W2558523485","https://openalex.org/W2566979091","https://openalex.org/W2616102449","https://openalex.org/W2626975733","https://openalex.org/W2753910905","https://openalex.org/W2764921838","https://openalex.org/W2904277359","https://openalex.org/W2913854892"],"related_works":["https://openalex.org/W2525347233","https://openalex.org/W2886490431","https://openalex.org/W4387776140","https://openalex.org/W4389449520","https://openalex.org/W4281746777","https://openalex.org/W2981673118","https://openalex.org/W2622236720","https://openalex.org/W2900633867","https://openalex.org/W3045238515","https://openalex.org/W2523233245"],"abstract_inverted_index":{"BigBench":[0,17,23,66,94,151,194],"standardized":[1],"as":[2],"TPCx-BB":[3],"is":[4,59,89,130],"a":[5,27,70,83,98],"popular":[6],"application":[7],"benchmark":[8,68,180],"that":[9,74,102],"targets":[10],"Big":[11,55],"Data":[12,56],"storage":[13],"and":[14,39,53,78,96,109,118,165,169,187],"processing":[15,51,119],"systems.":[16],"V2":[18,67],"addresses":[19],"some":[20],"of":[21,143,178],"the":[22,54,65,92,114,127,135,148,155,159,176,192],"limitations":[24],"by":[25,147],"introducing":[26],"new":[28,40,99],"simplified":[29],"data":[30,71,105,115,128],"model,":[31],"semi-structured":[32],"web":[33],"logs":[34],"in":[35,82,121,124,132],"JSON":[36],"file":[37],"format":[38],"queries":[41,81,145],"mandating":[42],"late":[43],"binding.":[44],"However,":[45],"it":[46],"still":[47],"covers":[48],"only":[49],"batch":[50],"workloads":[52],"velocity":[57],"characteristic":[58],"not":[60],"addressed.":[61],"This":[62],"work":[63],"extends":[64],"with":[69],"streaming":[72,100,106,157,161],"component":[73,101],"simulates":[75],"typical":[76],"statistical":[77],"predictive":[79],"analytics":[80],"retail":[84],"business":[85],"scenario.":[86],"Our":[87],"approach":[88],"to":[90],"preserve":[91],"existing":[93,149],"design":[95,185],"introduce":[97],"supports":[103],"two":[104,160],"modes:":[107],"active":[108,112],"passive.":[110],"In":[111],"mode,":[113,126],"stream":[116,129,137,140],"generation":[117],"happen":[120],"parallel,":[122],"whereas":[123],"passive":[125],"pre-generated":[131],"advance":[133],"before":[134],"actual":[136],"processing.":[138],"The":[139,172],"workload":[141],"consists":[142],"five":[144],"inspired":[146],"30":[150],"queries.":[152],"To":[153],"validate":[154],"proposed":[156,193],"extension,":[158],"modes":[162],"were":[163],"implemented":[164],"tested":[166],"using":[167],"Kafka":[168],"Spark":[170],"Streaming.":[171],"experimental":[173],"results":[174],"prove":[175],"feasibility":[177],"our":[179],"design.":[181],"Finally,":[182],"we":[183],"outline":[184],"challenges":[186],"future":[188],"plans":[189],"for":[190],"improving":[191],"extension.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}