{"id":"https://openalex.org/W4393141394","doi":"https://doi.org/10.1109/ants59832.2023.10469441","title":"Deep Q-learning Network Solution for Subjective Computational Task Scheduling in Edge Platforms","display_name":"Deep Q-learning Network Solution for Subjective Computational Task Scheduling in Edge Platforms","publication_year":2023,"publication_date":"2023-12-17","ids":{"openalex":"https://openalex.org/W4393141394","doi":"https://doi.org/10.1109/ants59832.2023.10469441"},"language":"en","primary_location":{"id":"doi:10.1109/ants59832.2023.10469441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ants59832.2023.10469441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","raw_type":"proceedings-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/A5081123538","display_name":"M. C. Hlophe","orcid":"https://orcid.org/0000-0001-6111-5619"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"M. C. Hlophe","raw_affiliation_strings":["University of Pretoria,Department of Electrical, Electronic and Computer Engineering,Pretoria,South Africa"],"affiliations":[{"raw_affiliation_string":"University of Pretoria,Department of Electrical, Electronic and Computer Engineering,Pretoria,South Africa","institution_ids":["https://openalex.org/I69552723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018563275","display_name":"Babatunde Seun Awoyemi","orcid":"https://orcid.org/0000-0003-2136-1318"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"B. S. Awoyemi","raw_affiliation_strings":["University of Pretoria,Department of Electrical, Electronic and Computer Engineering,Pretoria,South Africa"],"affiliations":[{"raw_affiliation_string":"University of Pretoria,Department of Electrical, Electronic and Computer Engineering,Pretoria,South Africa","institution_ids":["https://openalex.org/I69552723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004802818","display_name":"B. T. Maharaj","orcid":"https://orcid.org/0000-0002-3703-3637"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"B. T. Maharaj","raw_affiliation_strings":["University of Pretoria,Department of Electrical, Electronic and Computer Engineering,Pretoria,South Africa"],"affiliations":[{"raw_affiliation_string":"University of Pretoria,Department of Electrical, Electronic and Computer Engineering,Pretoria,South Africa","institution_ids":["https://openalex.org/I69552723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081123538"],"corresponding_institution_ids":["https://openalex.org/I69552723"],"apc_list":null,"apc_paid":null,"fwci":0.4595,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74525224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"132","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.8098999857902527,"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":0.8098999857902527,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.7709000110626221,"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":0.7570359706878662},{"id":"https://openalex.org/keywords/q-learning","display_name":"Q-learning","score":0.5288832187652588},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5107295513153076},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5038325190544128},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.48447108268737793},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4622148871421814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45219501852989197},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4371452331542969},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.42810872197151184},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.35931235551834106},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3218258023262024},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2041930854320526},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.12769797444343567},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09847047924995422},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08824682235717773},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08013474941253662}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7570359706878662},{"id":"https://openalex.org/C188116033","wikidata":"https://www.wikidata.org/wiki/Q2664563","display_name":"Q-learning","level":3,"score":0.5288832187652588},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5107295513153076},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5038325190544128},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.48447108268737793},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4622148871421814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45219501852989197},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4371452331542969},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.42810872197151184},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.35931235551834106},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3218258023262024},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2041930854320526},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.12769797444343567},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09847047924995422},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08824682235717773},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08013474941253662},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ants59832.2023.10469441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ants59832.2023.10469441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2022359415","https://openalex.org/W2171501928","https://openalex.org/W2343375973","https://openalex.org/W2746553466","https://openalex.org/W2896161835","https://openalex.org/W2996482369","https://openalex.org/W3011609167","https://openalex.org/W3087662833","https://openalex.org/W3105034684","https://openalex.org/W3134130721","https://openalex.org/W3180127382","https://openalex.org/W3208016380","https://openalex.org/W3210237092","https://openalex.org/W4206506024","https://openalex.org/W4283766693","https://openalex.org/W4285820523","https://openalex.org/W4310153763","https://openalex.org/W4361192981","https://openalex.org/W6683204974","https://openalex.org/W6802668894","https://openalex.org/W6851246770"],"related_works":["https://openalex.org/W4324372666","https://openalex.org/W2979760315","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313339048","https://openalex.org/W4313526662","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"The":[0,191],"core":[1],"concepts":[2],"of":[3,30,32,51,68,133,166],"edge":[4,12,33,69,84,90,111,138,151],"intelligence":[5,34,109],"have":[6],"intensified":[7],"and":[8,21,38,62,93,113,126,201],"are":[9],"permeating":[10],"into":[11],"computing":[13],"analytical":[14],"frameworks,":[15],"with":[16],"practical":[17],"application":[18,31],"in":[19,35,43,59,83,187,212],"6G":[20,37],"other":[22,39],"beyond":[23],"5G":[24],"(B5G)":[25],"networks.":[26],"One":[27],"important":[28,49],"area":[29],"advancing":[36],"B5G":[40],"networks":[41],"is":[42,72,130,177,221],"video":[44,52,70,127,139,214],"analytics.":[45],"Given":[46],"the":[47,66,107,131,142,162,167,195,208,213,217,228,234],"increasing":[48],"role":[50],"analysis":[53,215],"for":[54,78,150],"security":[55],"purposes":[56],"such":[57],"as":[58,74,156],"real-time":[60],"monitoring":[61],"dynamic":[63],"situational":[64],"adaptation,":[65],"incorporation":[67],"analytics":[71,152],"considered":[73],"an":[75],"indispensable":[76],"element":[77],"characterizing":[79],"intelligent":[80],"task":[81,147],"offloading":[82,168,202],"platforms.":[85],"For":[86],"this":[87,134],"to":[88,100,120,122,160,179,223],"work,":[89],"storage":[91],"infrastructure":[92],"computational":[94,146],"capacity":[95],"must":[96,117],"be":[97,118,224],"significantly":[98],"improved":[99],"ensure":[101],"optimal":[102],"performance.":[103],"To":[104,136],"achieve":[105],"this,":[106],"artificial":[108],"(AI)-based":[110],"systems":[112],"solutions":[114],"being":[115],"employed":[116],"able":[119],"learn":[121],"distinguish":[123],"between":[124],"data":[125],"traffic,":[128],"which":[129],"focus":[132],"paper.":[135],"improve":[137],"analysis,":[140],"therefore,":[141],"paper":[143],"proposes":[144],"a":[145,157,171,188],"scheduling":[148],"scheme":[149],"that":[153,194,232],"uses":[154,233],"congestion":[155],"subjective":[158],"metric":[159],"measure":[161],"device-centric":[163],"risk-based":[164],"satisfaction":[165,200],"devices.":[169],"Then,":[170],"deep":[172,236],"Q-learning":[173],"network":[174],"(DQN)":[175],"architecture":[176],"used":[178],"facilitate":[180],"transfer":[181],"learning":[182,220,231,238],"processes":[183],"among":[184],"smart":[185],"devices":[186],"cooperative":[189,219],"environment.":[190],"results":[192],"show":[193],"proposed":[196],"algorithm":[197],"achieves":[198],"better":[199],"ratios":[203],"by":[204],"reducing":[205],"congestion.":[206],"Also,":[207],"energy":[209],"consumption":[210],"achieved":[211],"using":[216],"DQN-based":[218],"shown":[222],"19%":[225],"less":[226],"than":[227],"traditional":[229,235],"individual":[230],"reinforcement":[237],"(DRL)":[239],"strategy.":[240]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
