{"id":"https://openalex.org/W2791195860","doi":"https://doi.org/10.14778/3184470.3184474","title":"Model-free control for distributed stream data processing using deep reinforcement learning","display_name":"Model-free control for distributed stream data processing using deep reinforcement learning","publication_year":2018,"publication_date":"2018-02-01","ids":{"openalex":"https://openalex.org/W2791195860","doi":"https://doi.org/10.14778/3184470.3184474","mag":"2791195860"},"language":"en","primary_location":{"id":"doi:10.14778/3184470.3184474","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3184470.3184474","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1803.01016","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100416750","display_name":"Teng Li","orcid":"https://orcid.org/0000-0003-0111-0108"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Teng Li","raw_affiliation_strings":["Syracuse University"],"affiliations":[{"raw_affiliation_string":"Syracuse University","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047324704","display_name":"Zhiyuan Xu","orcid":"https://orcid.org/0000-0003-2879-3244"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiyuan Xu","raw_affiliation_strings":["Syracuse University"],"affiliations":[{"raw_affiliation_string":"Syracuse University","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039176528","display_name":"Jian Tang","orcid":"https://orcid.org/0000-0003-4418-0114"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jian Tang","raw_affiliation_strings":["Syracuse University"],"affiliations":[{"raw_affiliation_string":"Syracuse University","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100651384","display_name":"Yanzhi Wang","orcid":"https://orcid.org/0000-0002-3024-7990"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanzhi Wang","raw_affiliation_strings":["Syracuse University"],"affiliations":[{"raw_affiliation_string":"Syracuse University","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100416750"],"corresponding_institution_ids":["https://openalex.org/I70983195"],"apc_list":null,"apc_paid":null,"fwci":4.0617,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.9494132,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"6","first_page":"705","last_page":"718"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9994000196456909,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9994000196456909,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9951000213623047,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.9927999973297119,"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":0.8426015377044678},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6682285070419312},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6493688821792603},{"id":"https://openalex.org/keywords/stream-processing","display_name":"Stream processing","score":0.6375572085380554},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6089804172515869},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6084533929824829},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.603947103023529},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.5011801719665527},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.4998044967651367},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4709526002407074},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.43689537048339844},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.417053759098053},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3205898702144623},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31965336203575134},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.15777108073234558},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.10630974173545837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8426015377044678},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6682285070419312},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6493688821792603},{"id":"https://openalex.org/C107027933","wikidata":"https://www.wikidata.org/wiki/Q2006448","display_name":"Stream processing","level":2,"score":0.6375572085380554},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6089804172515869},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6084533929824829},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.603947103023529},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.5011801719665527},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.4998044967651367},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4709526002407074},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.43689537048339844},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.417053759098053},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3205898702144623},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31965336203575134},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.15777108073234558},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.10630974173545837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/3184470.3184474","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3184470.3184474","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"},{"id":"pmh:oai:arXiv.org:1803.01016","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.01016","pdf_url":"https://arxiv.org/pdf/1803.01016","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1803.01016","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.01016","pdf_url":"https://arxiv.org/pdf/1803.01016","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1523888516","display_name":null,"funder_award_id":"FA9550-","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G230078430","display_name":null,"funder_award_id":"FA9550-16","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G3392305090","display_name":null,"funder_award_id":"-16-1-","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G3616359867","display_name":null,"funder_award_id":"FA9550-16-1","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G5359239782","display_name":null,"funder_award_id":"FA9550-16-1-0077","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G5809100787","display_name":null,"funder_award_id":"FA9550","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320315885","display_name":"Australian Government","ror":"https://ror.org/0314h5y94"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2791195860.pdf","grobid_xml":"https://content.openalex.org/works/W2791195860.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W260766989","https://openalex.org/W1736169163","https://openalex.org/W1861377444","https://openalex.org/W1934909785","https://openalex.org/W1964106935","https://openalex.org/W1968999661","https://openalex.org/W1978924650","https://openalex.org/W1984220394","https://openalex.org/W1994097195","https://openalex.org/W2003858189","https://openalex.org/W2024621423","https://openalex.org/W2030165200","https://openalex.org/W2030463924","https://openalex.org/W2038923230","https://openalex.org/W2040797713","https://openalex.org/W2043366231","https://openalex.org/W2052336939","https://openalex.org/W2077677671","https://openalex.org/W2112828875","https://openalex.org/W2121863487","https://openalex.org/W2133221446","https://openalex.org/W2137226992","https://openalex.org/W2140190241","https://openalex.org/W2145339207","https://openalex.org/W2153972927","https://openalex.org/W2155968351","https://openalex.org/W2159094846","https://openalex.org/W2165150801","https://openalex.org/W2167291474","https://openalex.org/W2173248099","https://openalex.org/W2215378786","https://openalex.org/W2257979135","https://openalex.org/W2280807353","https://openalex.org/W2296319761","https://openalex.org/W2342662072","https://openalex.org/W2395575420","https://openalex.org/W2529999572","https://openalex.org/W2746553466","https://openalex.org/W2949518748","https://openalex.org/W2949801941","https://openalex.org/W2950471160","https://openalex.org/W2952275172","https://openalex.org/W2963864421","https://openalex.org/W4214717370","https://openalex.org/W4248116195","https://openalex.org/W4250589301","https://openalex.org/W4252793640","https://openalex.org/W4302570325","https://openalex.org/W4393193549","https://openalex.org/W4394672593"],"related_works":["https://openalex.org/W2044761590","https://openalex.org/W2118924829","https://openalex.org/W4253061173","https://openalex.org/W4389449520","https://openalex.org/W127192698","https://openalex.org/W2953512616","https://openalex.org/W2151831402","https://openalex.org/W2157032266","https://openalex.org/W2949310134","https://openalex.org/W180351855"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,221],"focus":[4],"on":[5,225,275],"general-purpose":[6],"Distributed":[7],"Stream":[8],"Data":[9],"Processing":[10],"Systems":[11],"(DSDPSs)":[12],",":[13],"which":[14,74,182,291],"deal":[15],"with":[16,47,234],"processing":[17,55,187,242,269],"of":[18,21,50,82,103,173,208],"unbounded":[19],"streams":[20],"continuous":[22,238],"data":[23,201],"at":[24],"scale":[25],"distributedly":[26],"in":[27,35,67,70,165,298],"real":[28],"or":[29],"near-real":[30],"time.":[31,56],"A":[32,57],"fundamental":[33],"problem":[34,41],"a":[36,71,111,121,136,139,174,226,284],"DSDPS":[37,122],"is":[38,60,75],"the":[39,48,68,100,104,150,192,206,218,259,263],"scheduling":[40,286],"(i.e.,":[42],"assigning":[43],"workload":[44,63],"to":[45,61,80,99,109,118,154,254],"workers/machines)":[46],"objective":[49],"minimizing":[51],"average":[52,184,267],"end-to-end":[53,185],"tuple":[54,186,268],"widely-used":[58,227],"solution":[59,287],"distribute":[62],"evenly":[64],"over":[65],"machines":[66],"cluster":[69],"round-robin":[72],"manner,":[73],"obviously":[76],"not":[77,94],"efficient":[78],"due":[79,98],"lack":[81],"consideration":[83],"for":[84,149,161,295],"communication":[85],"delay.":[86],"Model-based":[87],"approaches":[88],"(such":[89,141],"as":[90,135,142],"queueing":[91],"theory)":[92],"do":[93],"work":[95],"well":[96,119],"either":[97],"high":[101],"complexity":[102],"system":[105,132,193],"environment.":[106],"We":[107],"aim":[108],"develop":[110],"novel":[112,175],"model-free":[113,163],"approach":[114],"that":[115],"can":[116,281],"learn":[117],"control":[120,164,180,297],"from":[123],"its":[124,293],"experience":[125],"rather":[126],"than":[127],"accurate":[128],"and":[129,167,171,176,202,216,231,243,258,272],"mathematically":[130],"solvable":[131],"models,":[133],"just":[134],"human":[137],"learns":[138],"skill":[140],"cooking,":[143],"driving,":[144],"swimming,":[145],"etc).":[146],"Specifically,":[147],"we,":[148],"first":[151],"time,":[152],"propose":[153],"leverage":[155],"emerging":[156],"Deep":[157,210],"Reinforcement":[158],"Learning":[159],"(DRL)":[160],"enabling":[162],"DSDPSs;":[166],"present":[168],"design,":[169],"implementation":[170],"evaluation":[172],"highly":[177],"effective":[178],"DRL-based":[179],"framework,":[181,220],"minimizes":[183],"time":[188],"by":[189,270],"jointly":[190],"learning":[191],"environment":[194],"via":[195],"collecting":[196],"very":[197],"limited":[198],"runtime":[199],"statistics":[200],"making":[203],"decisions":[204],"under":[205],"guidance":[207],"powerful":[209],"Neural":[211],"Networks":[212],"(DNNs).":[213],"To":[214],"validate":[215],"evaluate":[217],"proposed":[219,264,279],"implemented":[222],"it":[223,233],"based":[224],"DSDPS,":[228],"Apache":[229],"Storm,":[230],"tested":[232],"three":[235],"representative":[236],"applications:":[237],"queries,":[239],"log":[240],"stream":[241],"word":[244],"count":[245],"(stream":[246],"version).":[247],"Extensive":[248],"experimental":[249],"results":[250],"show":[251],"1)":[252],"Compared":[253],"Storm's":[255],"default":[256],"scheduler":[257],"state-of-the-art":[260],"model-based":[261],"method,":[262],"framework":[265,280],"reduces":[266],"33.5%":[271],"14.0%":[273],"respectively":[274],"average.":[276],"2)":[277],"The":[278],"quickly":[282],"reach":[283],"good":[285],"during":[288],"online":[289,296],"learning,":[290],"justifies":[292],"practicability":[294],"DSDPSs.":[299]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2018-03-29T00:00:00"}