{"id":"https://openalex.org/W7225728435","doi":"https://doi.org/10.3390/s26227108","title":"Business-Cycle-Aware Preference-Adaptive Dueling DQN for Library Computing Resource Scheduling","display_name":"Business-Cycle-Aware Preference-Adaptive Dueling DQN for Library Computing Resource Scheduling","publication_year":2026,"publication_date":"2026-11-10","ids":{"openalex":"https://openalex.org/W7225728435","doi":"https://doi.org/10.3390/s26227108"},"language":"en","primary_location":{"id":"doi:10.3390/s26227108","doi":"https://doi.org/10.3390/s26227108","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s26227108","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/s26227108","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5104324200","display_name":"Zheng Ma","orcid":"https://orcid.org/0009-0005-9920-6993","observed_orcids":["https://orcid.org/0009-0005-9920-6993"]},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Ma","raw_affiliation_strings":["Library, China University of Geosciences (Wuhan), Wuhan 430074, China"],"raw_orcid":"https://orcid.org/0009-0005-9920-6993","affiliations":[{"raw_affiliation_string":"Library, China University of Geosciences (Wuhan), Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5161388875","display_name":"Feng Zhang","orcid":"https://orcid.org/0009-0007-4889-5025","observed_orcids":["https://orcid.org/0009-0007-4889-5025"]},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["Library, China University of Geosciences (Wuhan), Wuhan 430074, China"],"raw_orcid":"https://orcid.org/0009-0007-4889-5025","affiliations":[{"raw_affiliation_string":"Library, China University of Geosciences (Wuhan), Wuhan 430074, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5161388875"],"corresponding_institution_ids":["https://openalex.org/I3124059619"],"apc_list":{"value":2600,"currency":"CHF","value_usd":3137},"apc_paid":{"value":2600,"currency":"CHF","value_usd":3137},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":"22","first_page":"7108","last_page":"7108"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.7910000085830688,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.7910000085830688,"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":0.13339999318122864,"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/T14098","display_name":"Energy Efficiency in Computing","score":0.049300000071525574,"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":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7218000292778015},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6403999924659729},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6134999990463257},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5720999836921692},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.40529999136924744},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.33889999985694885},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3357999920845032},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.3278000056743622},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3163999915122986},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.28450000286102295},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2727000117301941},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C2986053828","wikidata":"https://www.wikidata.org/wiki/Q355217","display_name":"Time budget","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/s26227108","doi":"https://doi.org/10.3390/s26227108","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s26227108","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/s26227108","doi":"https://doi.org/10.3390/s26227108","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s26227108","pdf_url":null,"source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W2145339207","https://openalex.org/W2416799949","https://openalex.org/W2594560857","https://openalex.org/W2746553466","https://openalex.org/W4319027038","https://openalex.org/W4365129152","https://openalex.org/W4368232611","https://openalex.org/W4376868870","https://openalex.org/W4386280791","https://openalex.org/W4391671261","https://openalex.org/W4392196196","https://openalex.org/W4392694117","https://openalex.org/W4399205598","https://openalex.org/W4400142659","https://openalex.org/W4400447774","https://openalex.org/W4400904818","https://openalex.org/W4401673340","https://openalex.org/W4401723955","https://openalex.org/W4402039810","https://openalex.org/W4402490841","https://openalex.org/W4406121258","https://openalex.org/W4406639316","https://openalex.org/W4407450919","https://openalex.org/W4409001377","https://openalex.org/W4410737880","https://openalex.org/W4415101373","https://openalex.org/W4416796098","https://openalex.org/W7117558917","https://openalex.org/W7128298577","https://openalex.org/W7140326254","https://openalex.org/W7153709760","https://openalex.org/W7167604251","https://openalex.org/W7167732501"],"related_works":[],"abstract_inverted_index":{"Smart":[0],"library":[1,120],"services":[2],"increasingly":[3],"depend":[4],"on":[5,68],"heterogeneous":[6],"IoT":[7],"terminals":[8],"and":[9,23,44,83,112,123,127,153,157,172,187,199],"edge":[10],"nodes,":[11],"whose":[12],"computing":[13],"resources":[14],"must":[15],"be":[16],"scheduled":[17],"under":[18],"three":[19],"conflicting":[20],"objectives\u2014latency,":[21],"energy,":[22],"cost\u2014with":[24],"a":[25,58,69,77,80,84,164,173],"trade-off":[26,49],"that":[27,64,177],"shifts":[28],"with":[29,41,102,136],"the":[30,48,51,66,89,94,108,125,144,154,178,184,200],"business":[31,52],"cycle.":[32],"Existing":[33],"deep-reinforcement-learning":[34],"(DRL)":[35],"schedulers":[36],"mostly":[37],"scalarize":[38],"these":[39],"objectives":[40],"fixed":[42,90],"weights":[43,75],"therefore":[45],"cannot":[46],"re-balance":[47],"as":[50],"context":[53],"changes.":[54],"We":[55],"propose":[56],"BC-PA-DDQN,":[57],"business-cycle-aware":[59],"preference-adaptive":[60],"dueling":[61],"double":[62],"DQN":[63],"conditions":[65],"Q-value":[67],"task-level":[70],"preference":[71,92,180],"vector:":[72],"each":[73],"task\u2019s":[74],"combine":[76],"task-type":[78,113],"prior,":[79],"business-period":[81],"modulation,":[82],"per-task":[85,103],"log-normal":[86],"perturbation,":[87],"replacing":[88],"uniform":[91],"of":[93,118],"baseline":[95,167],"PA-DDQN.":[96],"Because":[97],"no":[98,160],"public":[99],"library-computing":[100],"dataset":[101],"telemetry":[104],"exists,":[105],"we":[106],"calibrate":[107],"business-cycle":[109],"arrival":[110],"multipliers":[111],"composition":[114],"from":[115,130,163],"18":[116],"months":[117],"real":[119],"operational":[121],"data":[122],"model":[124],"task-size":[126],"SLA":[128],"distributions":[129],"domain":[131],"knowledge.":[132],"Over":[133],"10":[134],"seeds":[135],"per-seed":[137],"paired":[138],"sign-permutation":[139],"tests,":[140],"BC-PA-DDQN":[141],"significantly":[142],"outperforms":[143],"fixed-preference":[145],"PA-DDQN":[146],"(+0.984":[147],"reward,":[148],"Holm-corrected":[149],"p=0.0234,":[150],"10/10":[151],"seeds)":[152],"DDQN/D3QN/greedy/random":[155],"baselines,":[156],"it":[158],"shows":[159],"significant":[161],"difference":[162],"maximum-entropy":[165],"SAC":[166],"(p=0.56).":[168],"A":[169],"factor":[170],"test":[171,175],"leave-one-phase-out":[174],"show":[176],"numerical":[179],"carries":[181],"information":[182],"beyond":[183],"phase":[185],"label":[186],"transfers":[188],"to":[189],"unseen":[190],"phases.":[191],"The":[192],"gain":[193],"is":[194,203],"an":[195],"explicit":[196],"energy-for-cost":[197],"trade-off,":[198],"5316-parameter":[201],"network":[202],"about":[204],"3\u00d7":[205],"smaller":[206],"than":[207],"SAC.":[208]},"counts_by_year":[],"updated_date":"2026-11-11T12:16:26.678958","created_date":"2026-11-11T00:00:00"}