{"id":"https://openalex.org/W7135099707","doi":"https://doi.org/10.1109/clei67442.2025.11420608","title":"Network Load Balancing Strategies For URLLC In 5G Edge AI Computing Inferences Using EdgeLB","display_name":"Network Load Balancing Strategies For URLLC In 5G Edge AI Computing Inferences Using EdgeLB","publication_year":2025,"publication_date":"2025-10-27","ids":{"openalex":"https://openalex.org/W7135099707","doi":"https://doi.org/10.1109/clei67442.2025.11420608"},"language":null,"primary_location":{"id":"doi:10.1109/clei67442.2025.11420608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei67442.2025.11420608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 LI Latin American Computer Conference (CLEI)","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/A5110924431","display_name":"Dener Kraus","orcid":null},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Dener Kraus","raw_affiliation_strings":["UFSC - Federal University of Santa Catarina,Informatics and Statistics Department (INE),Florianópolis,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UFSC - Federal University of Santa Catarina,Informatics and Statistics Department (INE),Florianópolis,Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079572543","display_name":"Ad\u00e3o Boava","orcid":"https://orcid.org/0000-0003-4758-2063"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ad\u00e3o Boava","raw_affiliation_strings":["UFSC - Federal University of Santa Catarina,Control, Automation and Computer Engineering Department (CAC),Blumenau,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UFSC - Federal University of Santa Catarina,Control, Automation and Computer Engineering Department (CAC),Blumenau,Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122931240","display_name":"Douglas D. J. De Macedo","orcid":null},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Douglas D. J. De Macedo","raw_affiliation_strings":["UFSC - Federal University of Santa Catarina,Information Science Department (CIN),Florianópolis,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UFSC - Federal University of Santa Catarina,Information Science Department (CIN),Florianópolis,Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5128914692","display_name":"Alex S. R. Pinto","orcid":null},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alex S. R. Pinto","raw_affiliation_strings":["UFSC - Federal University of Santa Catarina,Informatics and Statistics Department (INE),Florianópolis,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UFSC - Federal University of Santa Catarina,Informatics and Statistics Department (INE),Florianópolis,Brazil","institution_ids":["https://openalex.org/I4104125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4104125"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.6965073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.5304999947547913,"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":0.5304999947547913,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.22100000083446503,"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/T12079","display_name":"IoT Networks and Protocols","score":0.051600001752376556,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/load-balancing","display_name":"Load balancing (electrical power)","score":0.7412999868392944},{"id":"https://openalex.org/keywords/mobile-edge-computing","display_name":"Mobile edge computing","score":0.5651999711990356},{"id":"https://openalex.org/keywords/jitter","display_name":"Jitter","score":0.5087000131607056},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.49140000343322754},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.48339998722076416},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.48080000281333923},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.478300005197525},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.44749999046325684},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43479999899864197},{"id":"https://openalex.org/keywords/core-network","display_name":"Core network","score":0.40709999203681946}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7802000045776367},{"id":"https://openalex.org/C138959212","wikidata":"https://www.wikidata.org/wiki/Q1806783","display_name":"Load balancing (electrical power)","level":3,"score":0.7412999868392944},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.5651999711990356},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5634999871253967},{"id":"https://openalex.org/C134652429","wikidata":"https://www.wikidata.org/wiki/Q1052698","display_name":"Jitter","level":2,"score":0.5087000131607056},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.49140000343322754},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.48339998722076416},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.48080000281333923},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.478300005197525},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.46459999680519104},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.44749999046325684},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43479999899864197},{"id":"https://openalex.org/C5038329","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Core network","level":2,"score":0.40709999203681946},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.3953999876976013},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.38999998569488525},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.3889999985694885},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.374099999666214},{"id":"https://openalex.org/C2779370713","wikidata":"https://www.wikidata.org/wiki/Q357554","display_name":"Load management","level":2,"score":0.35420000553131104},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3052999973297119},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.28949999809265137},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C19012869","wikidata":"https://www.wikidata.org/wiki/Q578372","display_name":"Response time","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C2778915421","wikidata":"https://www.wikidata.org/wiki/Q3643177","display_name":"Performance improvement","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/clei67442.2025.11420608","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei67442.2025.11420608","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 LI Latin American Computer Conference (CLEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4469364285469055}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2762750787","https://openalex.org/W2968563287","https://openalex.org/W2983275977","https://openalex.org/W3205705169","https://openalex.org/W4290991142","https://openalex.org/W4294384146","https://openalex.org/W4296705662","https://openalex.org/W4327779036","https://openalex.org/W4360585504","https://openalex.org/W4375928896","https://openalex.org/W4381734393","https://openalex.org/W4383200170"],"related_works":[],"abstract_inverted_index":{"Fifth-generation":[0],"technology":[1],"represents":[2],"a":[3,161],"transformative":[4],"shift":[5],"in":[6,23,127,173],"telecommunications,":[7],"offering":[8],"enhanced":[9],"speed,":[10],"reliability,":[11],"and":[12,40,53,59,84,99,120,131,136,169],"ultralow":[13],"latency.":[14],"This":[15],"paper":[16],"addresses":[17],"the":[18,42,64,69,147,157],"challenge":[19],"of":[20,38,96,149],"load":[21,71],"balancing":[22],"5G":[24,51,174],"networks,":[25],"especially":[26],"within":[27],"multi-access":[28,166],"edge":[29,167],"computing":[30,168],"architectures,":[31],"by":[32],"evaluating":[33],"strategies":[34],"that":[35,106,112],"ensure":[36],"quality":[37],"service":[39],"meet":[41],"stringent":[43],"ultra-reliable":[44,128],"low-latency":[45,129],"communication":[46],"requirements.Using":[47],"Free5GC":[48],"to":[49,55,73,145],"emulate":[50,107],"core":[52],"UERANSIM":[54],"simulate":[56],"user":[57],"equipment":[58],"radio":[60],"access":[61],"network":[62,104,118],"behavior,":[63],"proposed":[65],"EdgeLB":[66,158],"framework":[67],"integrates":[68],"LoxiLB":[70],"balancer":[72],"evaluate":[74],"algorithms":[75,123],"such":[76],"as":[77,101,103,160],"Round":[78,81],"Robin,":[79,82],"Weighted":[80],"Hash-based,":[83],"Least":[85],"Connections.":[86],"Through":[87],"Netperf-based":[88],"experiments,":[89],"we":[90],"assessed":[91],"performance":[92,119,150],"under":[93,151],"varying":[94],"numbers":[95],"concurrent":[97],"connections":[98],"UEs,":[100],"well":[102],"delays":[105],"geographic":[108],"distance.The":[109],"results":[110],"demonstrate":[111],"intelligent":[113],"traffic":[114],"distribution":[115],"significantly":[116],"improves":[117],"scalability.":[121],"All":[122],"maintained":[124],"submillisecond":[125],"latency":[126],"scenarios,":[130],"some":[132],"exhibited":[133],"strong":[134],"jitter":[135],"throughput":[137],"control.":[138],"Furthermore,":[139],"polynomial":[140],"regression":[141],"models":[142],"were":[143],"derived":[144],"approximate":[146],"degradation":[148],"scaling":[152],"conditions.":[153],"These":[154],"findings":[155],"validate":[156],"architecture":[159],"viable":[162],"solution":[163],"for":[164],"latency-sensitive":[165],"AI":[170],"inference":[171],"applications":[172],"environments.":[175]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2026-03-13T00:00:00"}