{"id":"https://openalex.org/W7225414767","doi":"https://doi.org/10.21203/rs.3.rs-11419144/v1","title":"Research on Cloud Task Scheduling Problem Based on Pareto Optimization Strategy for Deep Reinforcement Learning","display_name":"Research on Cloud Task Scheduling Problem Based on Pareto Optimization Strategy for Deep Reinforcement Learning","publication_year":2026,"publication_date":"2026-11-06","ids":{"openalex":"https://openalex.org/W7225414767","doi":"https://doi.org/10.21203/rs.3.rs-11419144/v1"},"language":"en","primary_location":{"id":"doi:10.21203/rs.3.rs-11419144/v1","doi":"https://doi.org/10.21203/rs.3.rs-11419144/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-11419144/v1","pdf_url":"https://www.researchsquare.com/article/rs-11419144/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.researchsquare.com/article/rs-11419144/latest.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102051720","display_name":"Wenqin Zhou","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210163834","display_name":"Tianshui Normal University","ror":"https://ror.org/05kc6dc21","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Wenqin","raw_affiliation_strings":["Tianshui Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianshui Normal University","institution_ids":["https://openalex.org/I4210163834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5159238752","display_name":"Dai Lu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210163834","display_name":"Tianshui Normal University","ror":"https://ror.org/05kc6dc21","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dai Lu","raw_affiliation_strings":["Tianshui Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianshui Normal University","institution_ids":["https://openalex.org/I4210163834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5161012100","display_name":"Wu Zhoulong","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210163834","display_name":"Tianshui Normal University","ror":"https://ror.org/05kc6dc21","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Zhoulong","raw_affiliation_strings":["Tianshui Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianshui Normal University","institution_ids":["https://openalex.org/I4210163834"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5160996096","display_name":"Hua Na","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210163834","display_name":"Tianshui Normal University","ror":"https://ror.org/05kc6dc21","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163834"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Na","raw_affiliation_strings":["Tianshui Normal University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tianshui Normal University","institution_ids":["https://openalex.org/I4210163834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210163834"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9951000213623047,"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"}},"topics":[{"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.0026000000070780516,"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/T14098","display_name":"Energy Efficiency in Computing","score":0.0007999999797903001,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-task-scheduling","display_name":"cloud task scheduling","score":0.9549999833106995},{"id":"https://openalex.org/keywords/deep-reinforcement-learning","display_name":"deep reinforcement learning","score":0.800000011920929},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.8100000023841858},{"id":"https://openalex.org/keywords/dueling-double-deep-q-network","display_name":"dueling double deep Q-network","score":0.8769999742507935},{"id":"https://openalex.org/keywords/multi-objective-scheduling","display_name":"multi-objective scheduling","score":0.7110000252723694},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"energy consumption","score":0.699999988079071},{"id":"https://openalex.org/keywords/resource-utilization","display_name":"resource utilization","score":0.9020000100135803},{"id":"https://openalex.org/keywords/task-completion-time","display_name":"task completion time","score":0.9039999842643738},{"id":"https://openalex.org/keywords/non-stationary-loading","display_name":"non-stationary loading","score":0.753000020980835},{"id":"https://openalex.org/keywords/incremental-sampling","display_name":"incremental sampling","score":0.7609999775886536},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.8050000071525574},{"id":"https://openalex.org/keywords/heterogeneous-data-centers","display_name":"heterogeneous data centers","score":0.4490000009536743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7190999984741211},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6916000247001648},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.59170001745224},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5841000080108643},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5629000067710876},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5088000297546387},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.47530001401901245},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4016000032424927},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.3953999876976013},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.3806000053882599},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.35179999470710754},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.351500004529953},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3483999967575073},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.3343999981880188},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.33219999074935913},{"id":"https://openalex.org/C111873713","wikidata":"https://www.wikidata.org/wiki/Q1641413","display_name":"Job scheduler","level":3,"score":0.3314000070095062},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3127000033855438},{"id":"https://openalex.org/C122141398","wikidata":"https://www.wikidata.org/wiki/Q5456330","display_name":"Fixed-priority pre-emptive scheduling","level":5,"score":0.30649998784065247},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3025999963283539},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.28850001096725464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.287200003862381},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.2775000035762787},{"id":"https://openalex.org/C138959212","wikidata":"https://www.wikidata.org/wiki/Q1806783","display_name":"Load balancing (electrical power)","level":3,"score":0.2605000138282776},{"id":"https://openalex.org/C175893541","wikidata":"https://www.wikidata.org/wiki/Q1196582","display_name":"Round-robin scheduling","level":4,"score":0.25760000944137573},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21203/rs.3.rs-11419144/v1","doi":"https://doi.org/10.21203/rs.3.rs-11419144/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-11419144/v1","pdf_url":"https://www.researchsquare.com/article/rs-11419144/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.21203/rs.3.rs-11419144/v1","doi":"https://doi.org/10.21203/rs.3.rs-11419144/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-11419144/v1","pdf_url":"https://www.researchsquare.com/article/rs-11419144/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7225414767.pdf","grobid_xml":"https://content.openalex.org/works/W7225414767.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2284351912","https://openalex.org/W2751308120","https://openalex.org/W2920054549","https://openalex.org/W3213689664","https://openalex.org/W4206459162","https://openalex.org/W4381376714","https://openalex.org/W4392196196","https://openalex.org/W4401433010","https://openalex.org/W4407574884","https://openalex.org/W4407937593","https://openalex.org/W4411341799","https://openalex.org/W7143525326"],"related_works":["https://openalex.org/W4312811994","https://openalex.org/W7140617370","https://openalex.org/W4381054366","https://openalex.org/W7081954500","https://openalex.org/W7165766430","https://openalex.org/W7216678077","https://openalex.org/W4379013865","https://openalex.org/W4293061149","https://openalex.org/W4388328544","https://openalex.org/W3175231915"],"abstract_inverted_index":{"Abstract":[0],"Cloud":[1],"data":[2],"centers":[3],"face":[4],"highly":[5],"dynamic":[6],"cluster":[7],"loads":[8],"and":[9,34,59,90,106,109,130,158],"sharply":[10],"heterogeneous":[11],"task":[12,19,84,152,163],"demands,":[13],"which":[14,79],"place":[15],"heavy":[16],"pressure":[17],"on":[18,25,53,136],"scheduling.":[20],"Most":[21],"existing":[22],"schedulers":[23],"rely":[24],"local":[26],"state":[27],"features,":[28],"adapt":[29],"poorly":[30],"to":[31,36,102,127,132,145],"load":[32,105],"fluctuations,":[33],"struggle":[35],"balance":[37],"competing":[38],"objectives.":[39],"This":[40],"paper":[41],"proposes":[42],"ITS-D3QN":[43,149],"(Interactive":[44],"Two-Stage":[45],"D3QN),":[46],"a":[47,62,72,116],"deep":[48],"reinforcement":[49],"learning":[50],"scheduler":[51],"built":[52],"D3QN":[54],"(Dueling":[55],"Double":[56],"Deep":[57],"Q-Network)":[58],"driven":[60],"by":[61,155,164,172],"Pareto":[63,99],"optimization":[64],"strategy.":[65],"The":[66],"method":[67,180],"has":[68],"three":[69],"components.":[70],"First,":[71],"two-layer":[73],"scheduling":[74,111,183],"model":[75],"is":[76,113,125],"formulated":[77],"in":[78,184],"the":[80,94,98,110,137,146,179],"lower":[81],"layer":[82,96],"optimizes":[83],"completion":[85],"time,":[86],"system":[87],"energy":[88,160],"consumption,":[89],"resource":[91,107,170],"utilization.":[92],"Second,":[93],"upper":[95],"uses":[97],"hypervolume":[100],"(HV)":[101],"capture":[103],"cluster-wide":[104],"conditions,":[108],"problem":[112],"cast":[114],"as":[115],"Markov":[117],"decision":[118],"process.":[119],"Third,":[120],"an":[121],"incremental":[122],"sampling":[123],"mechanism":[124],"introduced":[126],"improve":[128],"convergence":[129],"adaptability":[131],"non-stationary":[133],"load.":[134],"Simulations":[135],"Alibaba":[138],"Cluster":[139],"Trace":[140],"v2018":[141],"show":[142],"that,":[143],"relative":[144],"compared":[147],"algorithms,":[148],"reduces":[150],"average":[151,159,169],"response":[153],"time":[154],"approximately":[156,165,173],"4.75%":[157],"consumption":[161],"per":[162],"4.32%,":[166],"while":[167],"raising":[168],"utilization":[171],"5.62%.":[174],"These":[175],"results":[176],"indicate":[177],"that":[178],"achieves":[181],"balanced":[182],"complex":[185],"cloud":[186],"environments.":[187]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-11-07T00:00:00"}
