{"id":"https://openalex.org/W4390604606","doi":"https://doi.org/10.1109/tc.2024.3350243","title":"Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning","display_name":"Edge Generation Scheduling for DAG Tasks Using Deep Reinforcement Learning","publication_year":2024,"publication_date":"2024-01-05","ids":{"openalex":"https://openalex.org/W4390604606","doi":"https://doi.org/10.1109/tc.2024.3350243"},"language":"en","primary_location":{"id":"doi:10.1109/tc.2024.3350243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2024.3350243","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","0016-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","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/A5042767630","display_name":"Binqi Sun","orcid":"https://orcid.org/0000-0002-9764-6259"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Binqi Sun","raw_affiliation_strings":["TUM School of Engineering and Design, Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9764-6259","affiliations":[{"raw_affiliation_string":"TUM School of Engineering and Design, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001116971","display_name":"Mirco Theile","orcid":"https://orcid.org/0000-0003-1574-8858"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Mirco Theile","raw_affiliation_strings":["TUM School of Engineering and Design, Technical University of Munich, Munich, Germany","Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USA"],"raw_orcid":"https://orcid.org/0000-0003-1574-8858","affiliations":[{"raw_affiliation_string":"TUM School of Engineering and Design, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060788747","display_name":"Ziyuan Qin","orcid":"https://orcid.org/0000-0003-4882-4570"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ziyuan Qin","raw_affiliation_strings":["TUM School of Engineering and Design, Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0003-4882-4570","affiliations":[{"raw_affiliation_string":"TUM School of Engineering and Design, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101409490","display_name":"Daniele Bernardini","orcid":"https://orcid.org/0000-0002-9416-9557"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniele Bernardini","raw_affiliation_strings":["TUM School of Engineering and Design, Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0002-9416-9557","affiliations":[{"raw_affiliation_string":"TUM School of Engineering and Design, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102800785","display_name":"Debayan Roy","orcid":"https://orcid.org/0000-0002-2069-210X"},"institutions":[{"id":"https://openalex.org/I4210166625","display_name":"Huawei German Research Center","ror":"https://ror.org/00z59w514","country_code":"DE","type":"facility","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210129353","https://openalex.org/I4210166625"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Debayan Roy","raw_affiliation_strings":["TUM School of Engineering and Design, Technical University of Munich, Munich, Germany","Huawei Dresden Research Center, Dresden, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TUM School of Engineering and Design, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Huawei Dresden Research Center, Dresden, Germany","institution_ids":["https://openalex.org/I4210166625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046241188","display_name":"Andrea Bastoni","orcid":"https://orcid.org/0000-0001-8256-6160"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andrea Bastoni","raw_affiliation_strings":["TUM School of Engineering and Design, Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0001-8256-6160","affiliations":[{"raw_affiliation_string":"TUM School of Engineering and Design, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060442004","display_name":"Marco Caccamo","orcid":"https://orcid.org/0000-0003-2328-044X"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Marco Caccamo","raw_affiliation_strings":["TUM School of Engineering and Design, Technical University of Munich, Munich, Germany"],"raw_orcid":"https://orcid.org/0000-0003-2328-044X","affiliations":[{"raw_affiliation_string":"TUM School of Engineering and Design, Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.0092,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.98826816,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"73","issue":"4","first_page":"1034","last_page":"1047"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10933","display_name":"Real-Time Systems Scheduling","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10933","display_name":"Real-Time Systems Scheduling","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.9965999722480774,"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"}},{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9599999785423279,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.7309920191764832},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6471651792526245},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.555942177772522},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.46255791187286377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42125487327575684},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.14860489964485168},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09880125522613525}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7309920191764832},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6471651792526245},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.555942177772522},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.46255791187286377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42125487327575684},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.14860489964485168},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09880125522613525}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tc.2024.3350243","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2024.3350243","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","0016-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.44999998807907104,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1191599655","https://openalex.org/W1615714516","https://openalex.org/W1625622590","https://openalex.org/W1977289603","https://openalex.org/W2007572995","https://openalex.org/W2044949390","https://openalex.org/W2057392949","https://openalex.org/W2081746076","https://openalex.org/W2104680817","https://openalex.org/W2156316099","https://openalex.org/W2157529519","https://openalex.org/W2537957541","https://openalex.org/W2736601468","https://openalex.org/W2768955321","https://openalex.org/W2907492528","https://openalex.org/W2968986602","https://openalex.org/W2972968925","https://openalex.org/W2998624528","https://openalex.org/W3034260673","https://openalex.org/W3034384938","https://openalex.org/W3034806743","https://openalex.org/W3036158814","https://openalex.org/W3086853671","https://openalex.org/W3113618232","https://openalex.org/W3123706935","https://openalex.org/W3126851256","https://openalex.org/W3206860623","https://openalex.org/W3215732965","https://openalex.org/W4200220194","https://openalex.org/W4205852987","https://openalex.org/W4254686712","https://openalex.org/W4254807835","https://openalex.org/W4285282858","https://openalex.org/W4290642563","https://openalex.org/W4312199063","https://openalex.org/W4312199178","https://openalex.org/W4312199202","https://openalex.org/W4385806742","https://openalex.org/W6627932998","https://openalex.org/W6741002519","https://openalex.org/W6798755461","https://openalex.org/W6804049574"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4306904969","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2138720691","https://openalex.org/W2376932109","https://openalex.org/W4362501864","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Directed":[0],"acyclic":[1],"graph":[2,113],"(DAG)":[3],"tasks":[4,41],"are":[5],"currently":[6],"adopted":[7],"in":[8],"the":[9,17,35,50,80,89,98,128,131,153,157,165],"real-time":[10,39],"domain":[11],"to":[12,78,95,117,163],"model":[13],"complex":[14],"applications":[15],"from":[16],"automotive,":[18],"avionics,":[19],"and":[20,142],"industrial":[21],"domains":[22],"that":[23,76,152],"implement":[24],"their":[25],"functionalities":[26],"through":[27],"chains":[28],"of":[29,37,52,100,130],"intercommunicating":[30],"tasks.":[31,168],"This":[32],"paper":[33],"studies":[34],"problem":[36,99],"scheduling":[38,67,140],"DAG":[40,66,81,139,167],"by":[42,83,103,134,159],"presenting":[43],"a":[44,64,105,112],"novel":[45],"schedulability":[46,60],"test":[47],"based":[48],"on":[49],"concept":[51],"<italic":[53,70],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[54,71,170],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">trivial":[55],"schedulability</i>":[56],".":[57],"Using":[58],"this":[59],"test,":[61],"we":[62],"propose":[63],"new":[65],"framework":[68],"(":[69],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">edge":[72],"generation":[73,122],"scheduling\u2014EGS</i>":[74],")":[75],"attempts":[77],"minimize":[79],"width":[82],"iteratively":[84],"generating":[85,101],"edges":[86,102],"while":[87],"guaranteeing":[88],"deadline":[90],"constraint.":[91],"We":[92,126],"study":[93],"how":[94],"efficiently":[96],"solve":[97],"developing":[104],"deep":[106],"reinforcement":[107],"learning":[108],"algorithm":[109,133,155],"combined":[110],"with":[111,137],"representation":[114],"neural":[115],"network":[116],"learn":[118],"an":[119,143],"efficient":[120],"edge":[121],"policy":[123],"for":[124],"EGS.":[125],"evaluate":[127],"effectiveness":[129],"proposed":[132,154],"comparing":[135],"it":[136],"state-of-the-art":[138,158],"heuristics":[141],"optimal":[144],"mixed-integer":[145],"linear":[146],"programming":[147],"baseline.":[148],"Experimental":[149],"results":[150],"show":[151],"outperforms":[156],"requiring":[160],"fewer":[161],"processors":[162],"schedule":[164],"same":[166],"<uri":[169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/binqi-sun/egs</uri>":[171]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2024-01-07T00:00:00"}