{"id":"https://openalex.org/W4389315097","doi":"https://doi.org/10.14778/3625054.3625064","title":"ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems","display_name":"ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems","publication_year":2023,"publication_date":"2023-09-01","ids":{"openalex":"https://openalex.org/W4389315097","doi":"https://doi.org/10.14778/3625054.3625064"},"language":"en","primary_location":{"id":"doi:10.14778/3625054.3625064","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3625054.3625064","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-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/A5111086259","display_name":"J Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinqing Lian","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381548","display_name":"Xinyi Zhang","orcid":"https://orcid.org/0000-0002-4431-5966"},"institutions":[{"id":"https://openalex.org/I111483173","display_name":"King University","ror":"https://ror.org/01evb6z23","country_code":"US","type":"education","lineage":["https://openalex.org/I111483173"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Xinyi Zhang","raw_affiliation_strings":["School of Computer Science, and National Engineering Laboratory for Big Data Analysis and Applications, Peking University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, and National Engineering Laboratory for Big Data Analysis and Applications, Peking University","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014615052","display_name":"Yingxia Shao","orcid":"https://orcid.org/0000-0002-8559-2628"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingxia Shao","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101275070","display_name":"Zenglin Pu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zenglin Pu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040059313","display_name":"Qingfeng Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingfeng Xiang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100633553","display_name":"Yawen Li","orcid":"https://orcid.org/0000-0003-2662-3444"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yawen Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062357883","display_name":"Bin Cui","orcid":"https://orcid.org/0000-0003-1681-4677"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I111483173","display_name":"King University","ror":"https://ror.org/01evb6z23","country_code":"US","type":"education","lineage":["https://openalex.org/I111483173"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Bin Cui","raw_affiliation_strings":["School of Computer Science, and National Engineering Laboratory for Big Data Analysis and Applications, Peking University"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, and National Engineering Laboratory for Big Data Analysis and Applications, Peking University","institution_ids":["https://openalex.org/I111483173","https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5111086259"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":4.213,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.94885221,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"16","issue":"13","first_page":"4282","last_page":"4295"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.996999979019165,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.7994109392166138},{"id":"https://openalex.org/keywords/directed-acyclic-graph","display_name":"Directed acyclic graph","score":0.784886360168457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7695918083190918},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.5636784434318542},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5559697151184082},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.49642425775527954},{"id":"https://openalex.org/keywords/directed-graph","display_name":"Directed graph","score":0.4505898058414459},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.42524439096450806},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4151313006877899},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.39507970213890076},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.3249586224555969},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30316659808158875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.24632033705711365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11427387595176697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09910434484481812}],"concepts":[{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.7994109392166138},{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.784886360168457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7695918083190918},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.5636784434318542},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5559697151184082},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.49642425775527954},{"id":"https://openalex.org/C146380142","wikidata":"https://www.wikidata.org/wiki/Q1137726","display_name":"Directed graph","level":2,"score":0.4505898058414459},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.42524439096450806},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4151313006877899},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.39507970213890076},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.3249586224555969},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30316659808158875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24632033705711365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11427387595176697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09910434484481812},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3625054.3625064","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3625054.3625064","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4300000071525574},{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4000000059604645}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W61416865","https://openalex.org/W203126341","https://openalex.org/W1517320208","https://openalex.org/W1925579137","https://openalex.org/W1976821017","https://openalex.org/W2008503861","https://openalex.org/W2017203676","https://openalex.org/W2071965227","https://openalex.org/W2091568354","https://openalex.org/W2106098710","https://openalex.org/W2112474496","https://openalex.org/W2124945926","https://openalex.org/W2124988342","https://openalex.org/W2132851185","https://openalex.org/W2152558130","https://openalex.org/W2244094084","https://openalex.org/W2282396894","https://openalex.org/W2353191142","https://openalex.org/W2549484849","https://openalex.org/W2552853357","https://openalex.org/W2592857946","https://openalex.org/W2594657101","https://openalex.org/W2614298317","https://openalex.org/W2622443349","https://openalex.org/W2750816680","https://openalex.org/W2750869107","https://openalex.org/W2751352504","https://openalex.org/W2753910905","https://openalex.org/W2763178614","https://openalex.org/W2770395271","https://openalex.org/W2799108650","https://openalex.org/W2884464324","https://openalex.org/W2911635840","https://openalex.org/W2913854892","https://openalex.org/W2946887925","https://openalex.org/W2963580420","https://openalex.org/W2964847447","https://openalex.org/W2967663220","https://openalex.org/W3007086929","https://openalex.org/W3029627292","https://openalex.org/W3029881401","https://openalex.org/W3104631761","https://openalex.org/W3165341913","https://openalex.org/W3174969457","https://openalex.org/W3210370127","https://openalex.org/W4211154356","https://openalex.org/W4213308398","https://openalex.org/W4229050510","https://openalex.org/W4288057686","https://openalex.org/W4300695848","https://openalex.org/W4304691967","https://openalex.org/W4316252387","https://openalex.org/W4389315097"],"related_works":["https://openalex.org/W2146569528","https://openalex.org/W1998712144","https://openalex.org/W4287028074","https://openalex.org/W4214487273","https://openalex.org/W2106828717","https://openalex.org/W3191289342","https://openalex.org/W4300165677","https://openalex.org/W4297817344","https://openalex.org/W4292730466","https://openalex.org/W2372211403"],"abstract_inverted_index":{"The":[0],"past":[1],"decade":[2],"has":[3,37],"seen":[4],"rapid":[5],"growth":[6],"of":[7,27,32,34,49,63,190,200],"distributed":[8],"stream":[9,17,108],"data":[10],"processing":[11],"systems.":[12],"Under":[13],"these":[14],"systems,":[15],"a":[16,22,38,103,114,145],"application":[18],"is":[19,111],"realized":[20],"as":[21,173],"Directed":[23],"Acyclic":[24],"Graph":[25],"(DAG)":[26],"operators,":[28,64],"where":[29],"the":[30,60,85,90,97,120,124,127,132,152,158,163,168,207],"level":[31],"parallelism":[33,50],"each":[35],"operator":[36],"substantial":[39],"impact":[40],"on":[41],"its":[42],"overall":[43],"performance.":[44],"However,":[45],"finding":[46],"optimal":[47],"levels":[48],"remains":[51],"challenging.":[52],"Most":[53],"existing":[54],"methods":[55],"are":[56],"heavily":[57],"coupled":[58],"with":[59,113],"topological":[61,128],"graph":[62,129],"unable":[65],"to":[66,155,176,187,197,206],"efficiently":[67],"tune":[68],"under-provisioned":[69],"jobs.":[70],"They":[71],"either":[72],"insufficiently":[73],"use":[74],"previous":[75,164],"tuning":[76,81,105,125,134,159,171],"experience":[77],"by":[78,130,161],"treating":[79],"successively":[80],"independently,":[82],"or":[83],"explore":[84],"configuration":[86],"space":[87],"aggressively,":[88],"violating":[89],"Service":[91],"Level":[92],"Agreements":[93],"(SLA).":[94],"To":[95],"address":[96],"above":[98],"problems,":[99],"we":[100],"propose":[101,144],"ContTune,":[102],"continuous":[104],"system":[106],"for":[107],"applications.":[109],"It":[110,166],"equipped":[112],"novel":[115],"Big-small":[116],"algorithm,":[117],"in":[118,151],"which":[119],"Big":[121],"phase":[122,154],"decouples":[123],"from":[126],"decomposing":[131],"job":[133],"problem":[135],"into":[136],"sub-problems":[137],"that":[138,183],"can":[139],"be":[140],"solved":[141],"concurrently.":[142],"We":[143],"conservative":[146,174],"Bayesian":[147],"Optimization":[148],"(CBO)":[149],"technique":[150],"Small":[153],"speed":[156],"up":[157,186,196],"process":[160],"utilizing":[162],"observations.":[165],"leverages":[167],"state-of-the-art":[169],"(SOTA)":[170],"method":[172,209],"exploration":[175],"avoid":[177],"SLA":[178],"violations.":[179],"Experimental":[180],"results":[181],"show":[182],"ContTune":[184],"reduces":[185],"60.75%":[188],"number":[189,199],"reconfigurations":[191,201],"under":[192,202],"synthetic":[193],"workloads":[194],"and":[195],"57.5%":[198],"real":[203],"workloads,":[204],"compared":[205],"SOTA":[208],"DS2.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-10-10T00:00:00"}
