{"id":"https://openalex.org/W4399337817","doi":"https://doi.org/10.1109/tgcn.2024.3409390","title":"HA-A2C: Hard Attention and Advantage Actor-Critic for Addressing Latency Optimization in Edge Computing","display_name":"HA-A2C: Hard Attention and Advantage Actor-Critic for Addressing Latency Optimization in Edge Computing","publication_year":2024,"publication_date":"2024-06-04","ids":{"openalex":"https://openalex.org/W4399337817","doi":"https://doi.org/10.1109/tgcn.2024.3409390"},"language":"en","primary_location":{"id":"doi:10.1109/tgcn.2024.3409390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgcn.2024.3409390","pdf_url":null,"source":{"id":"https://openalex.org/S4210192662","display_name":"IEEE Transactions on Green Communications and Networking","issn_l":"2473-2400","issn":["2473-2400"],"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 Green Communications and Networking","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/A5074326967","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0003-1915-9487"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0003-1915-9487","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111199982","display_name":"Jialin Lu","orcid":"https://orcid.org/0009-0002-2527-2515"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialin Lu","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xu Zhou","orcid":"https://orcid.org/0000-0003-2465-7800"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhou","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0003-2465-7800","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354322","display_name":"Shaobo Li","orcid":"https://orcid.org/0000-0003-4759-6000"},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaobo Li","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China"],"raw_orcid":"https://orcid.org/0000-0003-4759-6000","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113239635","display_name":"Chuanyue Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I178232147","display_name":"Guizhou University","ror":"https://ror.org/02wmsc916","country_code":"CN","type":"education","lineage":["https://openalex.org/I178232147"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanyue Xiong","raw_affiliation_strings":["State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Public Big Data, Guizhou University, Guiyang, China","institution_ids":["https://openalex.org/I178232147"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060537711","display_name":"Jianjun Hu","orcid":"https://orcid.org/0000-0002-8725-6660"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianjun Hu","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA"],"raw_orcid":"https://orcid.org/0000-0002-8725-6660","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1873,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.88691172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"9","issue":"1","first_page":"207","last_page":"217"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.8949000239372253,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.8949000239372253,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8824999928474426,"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":0.8414999842643738,"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":0.650070309638977},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48967602849006653},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4831761419773102},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.37594226002693176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19397372007369995},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10453680157661438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.650070309638977},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48967602849006653},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4831761419773102},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.37594226002693176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19397372007369995},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10453680157661438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgcn.2024.3409390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgcn.2024.3409390","pdf_url":null,"source":{"id":"https://openalex.org/S4210192662","display_name":"IEEE Transactions on Green Communications and Networking","issn_l":"2473-2400","issn":["2473-2400"],"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 Green Communications and Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6360692046","display_name":null,"funder_award_id":"62166005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8784986561","display_name":null,"funder_award_id":"No.62166005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W2397723600","https://openalex.org/W2766827306","https://openalex.org/W2809066451","https://openalex.org/W2869903415","https://openalex.org/W2893394409","https://openalex.org/W2894001169","https://openalex.org/W2902554997","https://openalex.org/W2922134103","https://openalex.org/W2946432080","https://openalex.org/W2975241278","https://openalex.org/W2996840714","https://openalex.org/W2998711990","https://openalex.org/W3016764502","https://openalex.org/W3024681024","https://openalex.org/W3036631744","https://openalex.org/W3042732884","https://openalex.org/W3043678861","https://openalex.org/W3085733781","https://openalex.org/W3089274832","https://openalex.org/W3093906508","https://openalex.org/W3101810278","https://openalex.org/W3119744174","https://openalex.org/W3126872783","https://openalex.org/W3170514994","https://openalex.org/W3174885858","https://openalex.org/W3187463146","https://openalex.org/W3200959662","https://openalex.org/W3202343625","https://openalex.org/W3203417629","https://openalex.org/W3216190279","https://openalex.org/W4211067533","https://openalex.org/W4220861550","https://openalex.org/W4225679589","https://openalex.org/W4282968173","https://openalex.org/W4283515794","https://openalex.org/W4283766548","https://openalex.org/W4285174427","https://openalex.org/W4285194509","https://openalex.org/W4285820523","https://openalex.org/W4291433199","https://openalex.org/W4297502246","https://openalex.org/W4306752035","https://openalex.org/W4313435371","https://openalex.org/W4315628826","https://openalex.org/W4316660707","https://openalex.org/W4321180396","https://openalex.org/W4376868870","https://openalex.org/W4377088856","https://openalex.org/W4381376714","https://openalex.org/W4386040613","https://openalex.org/W4386527122","https://openalex.org/W4391853671","https://openalex.org/W6798708294"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Due":[0],"to":[1,18,134,154],"the":[2,6,30,38,54,63,84,99,117,127,155,159,168],"rapid":[3],"development":[4],"of":[5,40,57,95,101,162],"IoT":[7],"and":[8,48,62,88,110],"data-driven":[9],"applications,":[10],"low-latency":[11,78],"task":[12,32,44,136,148,163,174],"scheduling":[13,33,80,138,142,175],"methods":[14],"that":[15],"quickly":[16],"respond":[17],"user":[19],"tasks":[20],"has":[21],"become":[22],"a":[23,77,102],"significant":[24],"challenge":[25],"for":[26],"edge":[27,58,64,79,178],"servers.":[28],"However,":[29],"existing":[31],"strategies":[34],"do":[35],"not":[36],"overcome":[37],"impact":[39],"factors":[41],"such":[42],"as":[43],"characteristics,":[45],"resource":[46,118],"availability,":[47],"network":[49],"conditions":[50],"on":[51,83],"delays.":[52,143],"Meanwhile,":[53],"cross-regional":[55],"maldistribution":[56],"servers":[59,65],"is":[60,98,132],"obvious,":[61],"are":[66],"either":[67],"idle":[68],"or":[69],"overloaded.":[70],"To":[71],"address":[72],"these":[73],"issues,":[74],"we":[75],"propose":[76],"strategy":[81],"based":[82],"Hard":[85],"Attention":[86],"Mechanism":[87],"Advantage":[89],"Actor-Critic":[90],"(HA-A2C).":[91],"The":[92,144],"core":[93],"element":[94],"this":[96],"method":[97,131],"adoption":[100],"hard":[103,169],"attention":[104,114,170],"mechanism,":[105],"which":[106],"reduces":[107,122,147,173],"computing":[108],"complexity":[109],"increases":[111],"efficiency.":[112],"Effective":[113],"allocation":[115,119,161],"during":[116],"process":[120],"further":[121],"job":[123],"completion":[124],"time.":[125],"Additionally,":[126],"deep":[128],"reinforcement":[129],"learning":[130],"employed":[133],"enhance":[135],"dynamic":[137],"capabilities,":[139],"thereby":[140],"reducing":[141],"HA-A2C":[145],"approach":[146],"latency":[149],"by":[150,166],"approximately":[151],"40%":[152],"compared":[153],"DQN":[156],"method.":[157],"Consequently,":[158],"intelligent":[160],"resources":[164],"achieved":[165],"integrating":[167],"technique":[171],"significantly":[172],"time":[176],"in":[177],"environments.":[179]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}