{"id":"https://openalex.org/W4285604331","doi":"https://doi.org/10.24963/ijcai.2022/80","title":"Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning","display_name":"Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4285604331","doi":"https://doi.org/10.24963/ijcai.2022/80"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2022/80","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/80","pdf_url":"https://www.ijcai.org/proceedings/2022/0080.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2022/0080.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060626806","display_name":"Mingzhe Xing","orcid":"https://orcid.org/0000-0002-2065-9852"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingzhe Xing","raw_affiliation_strings":["Peking University","School of Computer Science, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076505011","display_name":"Hangyu Mao","orcid":"https://orcid.org/0000-0002-4499-7581"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Hangyu Mao","raw_affiliation_strings":["Huawei Noah's Ark Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab","institution_ids":["https://openalex.org/I4210159102"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102979232","display_name":"Zhen Xiao","orcid":"https://orcid.org/0000-0002-6784-9709"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Xiao","raw_affiliation_strings":["Peking University","School of Computer Science, Peking University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"School of Computer Science, Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"564","last_page":"570"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998000264167786,"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":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9973000288009644,"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/T11478","display_name":"Caching and Content Delivery","score":0.9944000244140625,"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":0.8351592421531677},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8262802958488464},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5194075107574463},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.48458755016326904},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4571824073791504},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.45519909262657166},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.45273274183273315},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.42203885316848755},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.41013482213020325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3995862603187561},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1995874047279358},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12201619148254395}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8351592421531677},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8262802958488464},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5194075107574463},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.48458755016326904},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4571824073791504},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.45519909262657166},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.45273274183273315},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.42203885316848755},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.41013482213020325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3995862603187561},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1995874047279358},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12201619148254395},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2022/80","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/80","pdf_url":"https://www.ijcai.org/proceedings/2022/0080.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2022/80","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2022/80","pdf_url":"https://www.ijcai.org/proceedings/2022/0080.pdf","source":{"id":"https://openalex.org/S4363608755","display_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G4176350594","display_name":null,"funder_award_id":"No. 61872397","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285604331.pdf","grobid_xml":"https://content.openalex.org/works/W4285604331.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1826234144","https://openalex.org/W2092939357","https://openalex.org/W2119717200","https://openalex.org/W2141992894","https://openalex.org/W2419501139","https://openalex.org/W2546571074","https://openalex.org/W2576355797","https://openalex.org/W2594639291","https://openalex.org/W2624431344","https://openalex.org/W2808758461","https://openalex.org/W2903871660","https://openalex.org/W2951595529","https://openalex.org/W2963386769","https://openalex.org/W2987353069","https://openalex.org/W2991446828","https://openalex.org/W2996819921","https://openalex.org/W3034384938","https://openalex.org/W3049730317","https://openalex.org/W3068073655","https://openalex.org/W3092019241","https://openalex.org/W3100807776","https://openalex.org/W3105242577","https://openalex.org/W3111993719","https://openalex.org/W3119169886","https://openalex.org/W3121706758","https://openalex.org/W3153673236","https://openalex.org/W3156973125","https://openalex.org/W3161207621","https://openalex.org/W3176075655","https://openalex.org/W3176501660","https://openalex.org/W4294558607","https://openalex.org/W4297733535","https://openalex.org/W6600231834","https://openalex.org/W6759363029","https://openalex.org/W6779490673","https://openalex.org/W6834709193"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2031695474","https://openalex.org/W2586732548","https://openalex.org/W3049728571"],"abstract_inverted_index":{"On":[0],"computing":[1],"clusters,":[2],"the":[3,36,47,79,114,123,129,139],"autoscaler":[4,68,124],"is":[5],"responsible":[6],"for":[7,10,39,69],"allocating":[8],"resources":[9],"jobs":[11,41,71,84],"or":[12],"fine-grained":[13,28,37,67],"tasks":[14],"to":[15,22,45,100,111,116],"ensure":[16],"their":[17],"Quality":[18],"of":[19,51,82,141],"Service.":[20],"Due":[21],"a":[23,65,95,107],"more":[24,118],"precise":[25],"resource":[26],"management,":[27],"autoscaling":[29,38,91],"can":[30],"generally":[31],"achieve":[32],"better":[33],"performance.":[34],"However,":[35],"streaming":[40,70,83],"needs":[42],"intensive":[43],"computation":[44],"model":[46],"complicated":[48],"running":[49,80],"states":[50,81],"tasks,":[52],"and":[53],"has":[54],"not":[55],"been":[56],"adequately":[57],"studied":[58],"previously.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63,93,105],"propose":[64,94,106],"novel":[66],"based":[72,127],"on":[73,128,135],"reinforcement":[74],"learning.":[75],"We":[76],"first":[77],"organize":[78],"as":[85],"spatio-temporal":[86,102],"graphs.":[87],"To":[88],"efficiently":[89],"make":[90],"decisions,":[92],"Neural":[96],"Variational":[97],"Subgraph":[98],"Sampler":[99],"sample":[101],"subgraphs.":[103,120],"Furthermore,":[104],"mutual-information-based":[108],"objective":[109],"function":[110],"explicitly":[112],"guide":[113],"sampler":[115],"extract":[117],"representative":[119],"After":[121],"that,":[122],"makes":[125],"decisions":[126],"learned":[130],"subgraph":[131],"representations.":[132],"Experiments":[133],"conducted":[134],"real-world":[136],"datasets":[137],"demonstrate":[138],"superiority":[140],"our":[142],"method":[143],"over":[144],"six":[145],"competitive":[146],"baselines.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}