{"id":"https://openalex.org/W4385075227","doi":"https://doi.org/10.1145/3610300","title":"Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling","display_name":"Multi-agent Reinforcement Learning-based Adaptive Heterogeneous DAG Scheduling","publication_year":2023,"publication_date":"2023-07-22","ids":{"openalex":"https://openalex.org/W4385075227","doi":"https://doi.org/10.1145/3610300"},"language":"en","primary_location":{"id":"doi:10.1145/3610300","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3610300","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"ACM Transactions on Intelligent Systems and Technology","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/A5069462955","display_name":"A. Zhadan","orcid":"https://orcid.org/0000-0002-6850-2424"},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Anastasia Zhadan","raw_affiliation_strings":["Saint-Petersburg State University, Russia"],"raw_orcid":"https://orcid.org/0000-0002-6850-2424","affiliations":[{"raw_affiliation_string":"Saint-Petersburg State University, Russia","institution_ids":["https://openalex.org/I172901346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026150206","display_name":"Alexander Allahverdyan","orcid":null},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexander Allahverdyan","raw_affiliation_strings":["Saint-Petersburg State University, Russia"],"raw_orcid":"https://orcid.org/0000-0003-3324-9091","affiliations":[{"raw_affiliation_string":"Saint-Petersburg State University, Russia","institution_ids":["https://openalex.org/I172901346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079028670","display_name":"Ivan Vladimirovich Kondratov","orcid":"https://orcid.org/0000-0002-6343-7168"},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Ivan Kondratov","raw_affiliation_strings":["Saint-Petersburg State University, Russia"],"raw_orcid":"https://orcid.org/0000-0002-6343-7168","affiliations":[{"raw_affiliation_string":"Saint-Petersburg State University, Russia","institution_ids":["https://openalex.org/I172901346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008092764","display_name":"V. S. Mikheev","orcid":"https://orcid.org/0000-0001-8210-6084"},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Vikenty Mikheev","raw_affiliation_strings":["Saint-Petersburg State University, Russia"],"raw_orcid":"https://orcid.org/0000-0001-8210-6084","affiliations":[{"raw_affiliation_string":"Saint-Petersburg State University, Russia","institution_ids":["https://openalex.org/I172901346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065458320","display_name":"Ovanes Petrosian","orcid":"https://orcid.org/0000-0001-7908-2261"},"institutions":[{"id":"https://openalex.org/I172901346","display_name":"St Petersburg University","ror":"https://ror.org/023znxa73","country_code":"RU","type":"education","lineage":["https://openalex.org/I172901346"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN","RU"],"is_corresponding":false,"raw_author_name":"Ovanes Petrosian","raw_affiliation_strings":["School of Mathematics, Harbin Institute of Technology, People\u2019s Republic of China and Faculty of Applied Mathematics and Control Processes, Saint-Petersburg State University, Russia","School of Mathematics, Harbin Institute of Technology, People's Republic of China and Faculty of Applied Mathematics and Control Processes, Saint-Petersburg State University, Russia"],"raw_orcid":"https://orcid.org/0000-0001-7908-2261","affiliations":[{"raw_affiliation_string":"School of Mathematics, Harbin Institute of Technology, People\u2019s Republic of China and Faculty of Applied Mathematics and Control Processes, Saint-Petersburg State University, Russia","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I172901346"]},{"raw_affiliation_string":"School of Mathematics, Harbin Institute of Technology, People's Republic of China and Faculty of Applied Mathematics and Control Processes, Saint-Petersburg State University, Russia","institution_ids":["https://openalex.org/I204983213","https://openalex.org/I172901346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075473675","display_name":"A. B. Romanovskii","orcid":"https://orcid.org/0000-0001-9103-4203"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aleksei Romanovskii","raw_affiliation_strings":["Huawei, Saint-Petersburg Research Institute, Russia"],"raw_orcid":"https://orcid.org/0000-0001-9103-4203","affiliations":[{"raw_affiliation_string":"Huawei, Saint-Petersburg Research Institute, Russia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010428301","display_name":"Vitaliy Kharin","orcid":"https://orcid.org/0000-0003-4294-4555"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vitaliy Kharin","raw_affiliation_strings":["Huawei, Saint-Petersburg Research Institute, Russia"],"raw_orcid":"https://orcid.org/0000-0003-4294-4555","affiliations":[{"raw_affiliation_string":"Huawei, Saint-Petersburg Research Institute, Russia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1379,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.79282972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"14","issue":"5","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9983999729156494,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9983999729156494,"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":0.9955999851226807,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8058420419692993},{"id":"https://openalex.org/keywords/directed-acyclic-graph","display_name":"Directed acyclic graph","score":0.6547703742980957},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5791951417922974},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.5535248517990112},{"id":"https://openalex.org/keywords/fair-share-scheduling","display_name":"Fair-share scheduling","score":0.5130645036697388},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.48673418164253235},{"id":"https://openalex.org/keywords/rate-monotonic-scheduling","display_name":"Rate-monotonic scheduling","score":0.48090195655822754},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.4657000005245209},{"id":"https://openalex.org/keywords/two-level-scheduling","display_name":"Two-level scheduling","score":0.4572477340698242},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39323824644088745},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36562302708625793},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2570495903491974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22548890113830566},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11749917268753052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8058420419692993},{"id":"https://openalex.org/C74197172","wikidata":"https://www.wikidata.org/wiki/Q1195339","display_name":"Directed acyclic graph","level":2,"score":0.6547703742980957},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5791951417922974},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.5535248517990112},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.5130645036697388},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.48673418164253235},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.48090195655822754},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.4657000005245209},{"id":"https://openalex.org/C119948110","wikidata":"https://www.wikidata.org/wiki/Q7858726","display_name":"Two-level scheduling","level":4,"score":0.4572477340698242},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39323824644088745},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36562302708625793},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2570495903491974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22548890113830566},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11749917268753052},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.0},{"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/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3610300","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3610300","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G5192560678","display_name":null,"funder_award_id":"94062114","funder_id":"https://openalex.org/F4320322515","funder_display_name":"Saint Petersburg State University"},{"id":"https://openalex.org/G8111674228","display_name":null,"funder_award_id":"ID: 94062114","funder_id":"https://openalex.org/F4320322515","funder_display_name":"Saint Petersburg State University"}],"funders":[{"id":"https://openalex.org/F4320322515","display_name":"Saint Petersburg State University","ror":"https://ror.org/023znxa73"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1958965543","https://openalex.org/W2003305391","https://openalex.org/W2011039300","https://openalex.org/W2019356799","https://openalex.org/W2057392949","https://openalex.org/W2065689629","https://openalex.org/W2078162318","https://openalex.org/W2096709532","https://openalex.org/W2097911714","https://openalex.org/W2106076593","https://openalex.org/W2107726111","https://openalex.org/W2132681076","https://openalex.org/W2148325535","https://openalex.org/W2176067516","https://openalex.org/W2546571074","https://openalex.org/W2608239929","https://openalex.org/W2624989916","https://openalex.org/W2910774907","https://openalex.org/W2914935709","https://openalex.org/W2922609623","https://openalex.org/W2929242575","https://openalex.org/W2978599004","https://openalex.org/W2991046523","https://openalex.org/W2999590865","https://openalex.org/W3020004360","https://openalex.org/W3026864969","https://openalex.org/W3105119363","https://openalex.org/W3120676446","https://openalex.org/W3129403705","https://openalex.org/W3200512784","https://openalex.org/W3209901790","https://openalex.org/W4236558809","https://openalex.org/W4242806799","https://openalex.org/W4285193894","https://openalex.org/W4296100776","https://openalex.org/W4306736977","https://openalex.org/W4312759414"],"related_works":["https://openalex.org/W2949165180","https://openalex.org/W2155809154","https://openalex.org/W2838819579","https://openalex.org/W131757205","https://openalex.org/W2807934311","https://openalex.org/W2533899164","https://openalex.org/W2057737420","https://openalex.org/W2596081411","https://openalex.org/W2384952691","https://openalex.org/W2122150982"],"abstract_inverted_index":{"Static":[0],"scheduling":[1,46,66,85,125,161,179],"of":[2,19,27,76,106,119,136,154,173],"computational":[3],"workflow":[4],"represented":[5],"by":[6],"a":[7,40,79,133],"directed":[8],"acyclic":[9],"graph":[10,36,112],"(DAG)":[11],"is":[12,31,53,62,87,142,180],"an":[13,32,104,115,174],"important":[14,55,140,181],"problem":[15],"in":[16],"many":[17],"areas":[18],"computer":[20],"science.":[21],"The":[22],"main":[23],"idea":[24,172],"and":[25,93,114,182,186],"novelty":[26],"the":[28,74,77,82,97,100,123,145,155,159,164,171],"proposed":[29,101,146],"algorithm":[30,102,147,162],"adaptive":[33,70,175],"heuristic":[34,42],"or":[35],"metric":[37,176],"that":[38,58,143,170],"uses":[39],"different":[41],"rule":[43],"at":[44],"each":[45],"step":[47],"depending":[48],"on":[49,69,96,110,132],"local":[50],"workflow.":[51],"It":[52],"also":[54],"to":[56,64,108,122,151,163],"note":[57],"multi-agent":[59],"reinforcement":[60],"learning":[61],"used":[63],"determine":[65],"policy":[67],"based":[68],"metrics.":[71],"To":[72],"prove":[73],"efficiency":[75],"approach,":[78],"comparison":[80],"with":[81],"state-of-the-art":[83],"DAG":[84,178],"algorithms":[86],"provided:":[88],"DONF,":[89],"CPOP,":[90],"HCPT,":[91],"HPS,":[92],"PETS.":[94],"Based":[95],"simulation":[98],"results,":[99],"shows":[103],"improvement":[105],"up":[107],"30%":[109],"specific":[111],"topologies":[113],"average":[116],"performance":[117],"gain":[118],"5.32%,":[120],"compared":[121],"best":[124,160],"algorithm,":[126],"DONF":[127],"(suitable":[128],"for":[129,177],"large-scale":[130],"scheduling),":[131],"large":[134],"number":[135],"random":[137],"DAGs.":[138],"Another":[139],"result":[141],"using":[144],"it":[148],"was":[149],"possible":[150],"cover":[152],"30.01%":[153],"proximity":[156],"interval":[157],"from":[158],"global":[165],"optimal":[166],"solution.":[167],"This":[168],"indicates":[169],"requires":[183],"further":[184],"research":[185],"development.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
