{"id":"https://openalex.org/W3125517639","doi":"https://doi.org/10.1109/globecom42002.2020.9322564","title":"RALaaS: Resource-Aware Learning-as-a-Service in Edge-Cloud Collaborative Smart Connected Communities","display_name":"RALaaS: Resource-Aware Learning-as-a-Service in Edge-Cloud Collaborative Smart Connected Communities","publication_year":2020,"publication_date":"2020-12-01","ids":{"openalex":"https://openalex.org/W3125517639","doi":"https://doi.org/10.1109/globecom42002.2020.9322564","mag":"3125517639"},"language":"en","primary_location":{"id":"doi:10.1109/globecom42002.2020.9322564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9322564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","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/A5010284148","display_name":"Chao Sang","orcid":"https://orcid.org/0000-0003-4587-9162"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Sang","raw_affiliation_strings":["Shanghai Jiao Tong University Yunnan Dali Research Institute, Yunan, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University Yunnan Dali Research Institute, Yunan, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004673608","display_name":"Jun Wu","orcid":"https://orcid.org/0000-0003-2483-6980"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Wu","raw_affiliation_strings":["Institute of Cyber Science and Technology, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Cyber Science and Technology, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391361","display_name":"Jianhua Li","orcid":"https://orcid.org/0000-0002-6831-3973"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhua Li","raw_affiliation_strings":["Institute of Cyber Science and Technology, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Cyber Science and Technology, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088617561","display_name":"Ali Kashif Bashir","orcid":"https://orcid.org/0000-0003-2601-9327"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ali Kashif Bashir","raw_affiliation_strings":["Manchester Metropolitan University, Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan University, Manchester, United Kingdom","institution_ids":["https://openalex.org/I11983389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000037502","display_name":"Fucai Luo","orcid":"https://orcid.org/0000-0001-7961-5750"},"institutions":[{"id":"https://openalex.org/I4210111970","display_name":"Fujian Electric Power Survey & Design Institute","ror":"https://ror.org/0233jyt67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210111970"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fucai Luo","raw_affiliation_strings":["State Grid Fujian Electric Power Compan, Fujian Province, China"],"affiliations":[{"raw_affiliation_string":"State Grid Fujian Electric Power Compan, Fujian Province, China","institution_ids":["https://openalex.org/I4210111970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079763361","display_name":"Rupak Kharel","orcid":"https://orcid.org/0000-0002-8632-7439"},"institutions":[{"id":"https://openalex.org/I11983389","display_name":"Manchester Metropolitan University","ror":"https://ror.org/02hstj355","country_code":"GB","type":"education","lineage":["https://openalex.org/I11983389"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rupak Kharel","raw_affiliation_strings":["Manchester Metropolitan University, Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Manchester Metropolitan University, Manchester, United Kingdom","institution_ids":["https://openalex.org/I11983389"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5010284148"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.4625,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68518581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9997000098228455,"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":0.9997000098228455,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.8540492653846741},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6928486227989197},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6013990044593811},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5668349862098694},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.5490697622299194},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5384438037872314},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5010159015655518},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4900730848312378},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.47319671511650085},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45856818556785583},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.44533517956733704},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.4390217065811157},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.43602439761161804},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.4305885434150696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4227047562599182},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3199942111968994},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.08939880132675171}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8540492653846741},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6928486227989197},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6013990044593811},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5668349862098694},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.5490697622299194},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5384438037872314},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5010159015655518},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4900730848312378},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.47319671511650085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45856818556785583},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.44533517956733704},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4390217065811157},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.43602439761161804},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.4305885434150696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4227047562599182},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3199942111968994},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.08939880132675171},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globecom42002.2020.9322564","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom42002.2020.9322564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2020 - 2020 IEEE Global Communications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G164061986","display_name":null,"funder_award_id":"61972255","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"},{"id":"https://openalex.org/F4320323970","display_name":"Ministry of Industry and Information Technology of the People's Republic of China","ror":"https://ror.org/0385nmy68"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2805828232","https://openalex.org/W2807006176","https://openalex.org/W2898496135","https://openalex.org/W2913775178","https://openalex.org/W2919115771","https://openalex.org/W2944858588","https://openalex.org/W2962991278","https://openalex.org/W2963318081","https://openalex.org/W2964220104","https://openalex.org/W2982041717","https://openalex.org/W2988958963","https://openalex.org/W3006704479","https://openalex.org/W3093930561","https://openalex.org/W3106099468","https://openalex.org/W4243916257","https://openalex.org/W6752029299","https://openalex.org/W6769131100"],"related_works":["https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W4313526662","https://openalex.org/W4313463218","https://openalex.org/W4312996489","https://openalex.org/W3106131444","https://openalex.org/W3216099748","https://openalex.org/W4205963435","https://openalex.org/W3214037210"],"abstract_inverted_index":{"As":[0],"increasingly":[1],"advanced":[2],"data":[3,51],"collection":[4],"and":[5,29,41,54,59,94,107,121,139,160],"computing":[6],"abilities":[7],"are":[8,98],"equipped":[9],"by":[10,79,85,154],"devices":[11,24],"at":[12],"the":[13,17,27,35,42,90,103,117,152,171],"network":[14],"edge,":[15],"accompanying":[16],"vigorous":[18],"development":[19],"of":[20,31,37,44,92],"machine":[21],"learning,":[22],"edge":[23,164],"become":[25],"both":[26],"consumer":[28],"provider":[30],"data.":[32],"Due":[33],"to":[34,61,73,115,132],"timeliness":[36],"some":[38],"learning":[39,45,47,55,64,87,112,119,172],"demands":[40],"necessity":[43],"results,":[46],"resources":[48,83,165],"such":[49],"as":[50],"collection,":[52],"transmission,":[53],"should":[56],"be":[57],"unified":[58],"converged":[60],"meet":[62],"timely":[63],"needs.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69],"propose":[70,108],"a":[71,75,86,109],"framework":[72,149],"implement":[74],"distributed":[76],"Learning-as-a-Service":[77],"function":[78],"edge-cloud":[80],"collaboratively":[81],"integrating":[82],"required":[84,118],"task.":[88,173],"First,":[89],"architecture":[91],"RALaaS":[93],"underlying":[95],"information":[96],"interaction":[97],"proposed.":[99],"We":[100],"then":[101],"formulate":[102],"learning-resource":[104],"allocation":[105],"problem":[106],"deep":[110],"reinforcement":[111],"based":[113],"solution":[114],"minimize":[116],"resource":[120],"achieve":[122],"better":[123],"accuracy.":[124],"More":[125],"precisely,":[126],"an":[127],"A3C":[128],"algorithm":[129],"is":[130],"presented":[131],"schedule":[133],"tasks":[134],"among":[135],"smart":[136],"connected":[137],"communities":[138],"aggregate":[140],"models.":[141],"Finally,":[142],"evaluation":[143],"results":[144],"show":[145],"that":[146],"our":[147],"proposed":[148],"can":[150],"improve":[151],"accuracy":[153],"10%":[155],"compared":[156],"with":[157],"conventional":[158],"algorithms":[159],"save":[161],"about":[162],"50%":[163],"when":[166],"30":[167],"nodes":[168],"participate":[169],"in":[170]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
