{"id":"https://openalex.org/W4402156842","doi":"https://doi.org/10.1109/icc51166.2024.10622364","title":"Crossl.earning: Vertical and Horizontal Learning for Request Scheduling in Edge-Cloud Systems","display_name":"Crossl.earning: Vertical and Horizontal Learning for Request Scheduling in Edge-Cloud Systems","publication_year":2024,"publication_date":"2024-06-09","ids":{"openalex":"https://openalex.org/W4402156842","doi":"https://doi.org/10.1109/icc51166.2024.10622364"},"language":"en","primary_location":{"id":"doi:10.1109/icc51166.2024.10622364","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icc51166.2024.10622364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","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/A5108488183","display_name":"Xiaoyun Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyun Shi","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083504621","display_name":"Yunfeng Zhao","orcid":"https://orcid.org/0000-0001-6767-7233"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfeng Zhao","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007510770","display_name":"Chao Qiu","orcid":"https://orcid.org/0000-0002-2224-2292"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Qiu","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363470","display_name":"Xiaofei Wang","orcid":"https://orcid.org/0000-0002-7223-1030"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofei Wang","raw_affiliation_strings":["College of Intelligence and Computing, Tianjin University,Tianjin,China"],"affiliations":[{"raw_affiliation_string":"College of Intelligence and Computing, Tianjin University,Tianjin,China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100413431","display_name":"Xiuhua Li","orcid":"https://orcid.org/0000-0001-9041-0297"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuhua Li","raw_affiliation_strings":["School of Big Data &#x0026; Software Engineering, Chongqing University,Chongqing,China"],"affiliations":[{"raw_affiliation_string":"School of Big Data &#x0026; Software Engineering, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338164","display_name":"Wenyu Wang","orcid":"https://orcid.org/0009-0005-5624-0657"},"institutions":[{"id":"https://openalex.org/I4210144487","display_name":"Cloud Computing Center","ror":"https://ror.org/04aa0zm65","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210144487"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyu Wang","raw_affiliation_strings":["Paiou Cloud Computing (Shanghai) Co., Ltd.,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"Paiou Cloud Computing (Shanghai) Co., Ltd.,Shanghai,China","institution_ids":["https://openalex.org/I4210144487"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5108488183"],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15427604,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"4572","last_page":"4577"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9962999820709229,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9918000102043152,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7401745319366455},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7347494959831238},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5346172451972961},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48607853055000305},{"id":"https://openalex.org/keywords/horizontal-and-vertical","display_name":"Horizontal and vertical","score":0.4708280861377716},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3877120614051819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2034812867641449},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.18240347504615784},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16145408153533936},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07810184359550476},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.06032371520996094},{"id":"https://openalex.org/keywords/geodesy","display_name":"Geodesy","score":0.05856117606163025}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7401745319366455},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7347494959831238},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5346172451972961},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48607853055000305},{"id":"https://openalex.org/C59218005","wikidata":"https://www.wikidata.org/wiki/Q17027571","display_name":"Horizontal and vertical","level":2,"score":0.4708280861377716},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3877120614051819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2034812867641449},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.18240347504615784},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16145408153533936},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07810184359550476},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.06032371520996094},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.05856117606163025}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc51166.2024.10622364","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icc51166.2024.10622364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2024 - IEEE International Conference on Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G545781906","display_name":null,"funder_award_id":"62072332","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6093772114","display_name":null,"funder_award_id":"62002260","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":18,"referenced_works":["https://openalex.org/W2786652201","https://openalex.org/W2885550588","https://openalex.org/W2909267459","https://openalex.org/W2963334314","https://openalex.org/W2963523627","https://openalex.org/W2971329741","https://openalex.org/W3044345870","https://openalex.org/W3126231714","https://openalex.org/W3154418849","https://openalex.org/W3203864086","https://openalex.org/W3209807998","https://openalex.org/W4205498942","https://openalex.org/W4226396131","https://openalex.org/W4293195712","https://openalex.org/W4313635425","https://openalex.org/W4319264567","https://openalex.org/W4360930287","https://openalex.org/W4385329436"],"related_works":["https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W3150465815","https://openalex.org/W1997222214","https://openalex.org/W2802581102","https://openalex.org/W4205786897"],"abstract_inverted_index":{"With":[0],"the":[1,21,38,72,76,88,96,104,111],"rapid":[2],"development":[3],"of":[4,6,17,26,37,49,75,90,108,147],"Internet":[5],"Things":[7],"(loT)":[8],"device":[9],"performance,":[10],"edge-cloud":[11,27,50],"systems":[12,28],"are":[13],"generating":[14],"vast":[15],"volumes":[16],"complex":[18],"data.":[19],"Meanwhile,":[20],"distributed":[22],"and":[23,35,46,99,126,150],"multi-layer":[24],"structure":[25],"pose":[29],"significant":[30,143],"challenges":[31],"to":[32,70,86,101,138],"scheduling":[33],"decision-making":[34],"convergence":[36,73,159],"algorithm.":[39,77],"In":[40],"this":[41],"paper,":[42],"from":[43],"a":[44,54,64,118,122,154],"vertical":[45],"horizontal":[47],"perspective":[48],"systems,":[51],"we":[52,116],"propose":[53],"deep":[55],"reinforcement":[56],"learning":[57,67],"(DRL)":[58],"algorithm":[59,158],"called":[60],"CrossLearning.":[61],"We":[62,78,93],"apply":[63],"curiosity-driven":[65],"multi-agent":[66],"method":[68],"horizontally":[69],"accelerate":[71],"speed":[74],"introduce":[79],"an":[80],"inter-layer":[81],"decision":[82],"refinement":[83],"mechanism":[84],"vertically":[85],"address":[87],"challenge":[89],"inaccurate":[91],"decision-making.":[92],"also":[94],"refine":[95],"service":[97],"types":[98],"levels":[100],"efficiently":[102],"match":[103],"various":[105],"application":[106],"needs":[107],"users":[109],"in":[110,136,145,157],"big":[112],"data":[113],"era.":[114],"Finally,":[115],"implement":[117],"prototype":[119],"system":[120,125],"on":[121],"network":[123],"hardware":[124],"conduct":[127],"experiments":[128],"using":[129],"real":[130],"datasets.":[131],"The":[132],"evaluation":[133],"shows":[134],"that,":[135],"comparison":[137],"baseline":[139],"methods,":[140],"CrossLearning":[141],"demonstrates":[142],"im-provements":[144],"terms":[146],"time":[148],"efficiency":[149],"load":[151],"balance,":[152],"with":[153],"notable":[155],"enhancement":[156],"speed.":[160]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
