{"id":"https://openalex.org/W4315630069","doi":"https://doi.org/10.1109/globecom48099.2022.10001449","title":"A Practical way to Handle Service Migration of ML-based Applications in Industrial Analytics","display_name":"A Practical way to Handle Service Migration of ML-based Applications in Industrial Analytics","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4315630069","doi":"https://doi.org/10.1109/globecom48099.2022.10001449"},"language":"en","primary_location":{"id":"doi:10.1109/globecom48099.2022.10001449","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/globecom48099.2022.10001449","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5040887872","display_name":"Domenico Scotece","orcid":"https://orcid.org/0000-0003-3824-197X"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Domenico Scotece","raw_affiliation_strings":["University of Bologna,Department of Computer Science and Engineering,Bologna,Italy","Department of Computer Science and Engineering, University of Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,Department of Computer Science and Engineering,Bologna,Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073807871","display_name":"Claudio Fiandrino","orcid":"https://orcid.org/0000-0002-4323-4355"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Claudio Fiandrino","raw_affiliation_strings":["IMDEA Networks Institute,Madrid,Spain","IMDEA Networks Institute, Madrid, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute,Madrid,Spain","institution_ids":["https://openalex.org/I2802499160"]},{"raw_affiliation_string":"IMDEA Networks Institute, Madrid, Spain","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073919193","display_name":"Luca Foschini","orcid":"https://orcid.org/0000-0001-9062-3647"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Luca Foschini","raw_affiliation_strings":["University of Bologna,Department of Computer Science and Engineering,Bologna,Italy","Department of Computer Science and Engineering, University of Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bologna,Department of Computer Science and Engineering,Bologna,Italy","institution_ids":["https://openalex.org/I9360294"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5392,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60280469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"abs 2003 12172","issue":null,"first_page":"123","last_page":"128"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.991100013256073,"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/T13553","display_name":"Age of Information Optimization","score":0.9866999983787537,"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":0.7833176255226135},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.7375925183296204},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6443452835083008},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.623317539691925},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6091636419296265},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.5300084352493286},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5201114416122437},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4863649010658264},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4838792085647583},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4737062156200409},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.45835983753204346},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"Business intelligence","score":0.4348233640193939},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.31064414978027344},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24413928389549255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16745826601982117},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09506085515022278}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7833176255226135},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.7375925183296204},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6443452835083008},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.623317539691925},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6091636419296265},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.5300084352493286},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5201114416122437},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4863649010658264},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4838792085647583},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4737062156200409},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.45835983753204346},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.4348233640193939},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.31064414978027344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24413928389549255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16745826601982117},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09506085515022278},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globecom48099.2022.10001449","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/globecom48099.2022.10001449","pdf_url":null,"source":{"id":"https://openalex.org/S4363607705","display_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2022 - 2022 IEEE Global Communications Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/913674","is_oa":false,"landing_page_url":"https://hdl.handle.net/11585/913674","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G3696590068","display_name":null,"funder_award_id":"IJC2019-039885-I","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"}],"funders":[{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2008092482","https://openalex.org/W2019609318","https://openalex.org/W2163896524","https://openalex.org/W2615459164","https://openalex.org/W2886393876","https://openalex.org/W2891367726","https://openalex.org/W2897350321","https://openalex.org/W2908872525","https://openalex.org/W2919017393","https://openalex.org/W2920204204","https://openalex.org/W2950865323","https://openalex.org/W2960944858","https://openalex.org/W2962814013","https://openalex.org/W2966213627","https://openalex.org/W2972062541","https://openalex.org/W2980073220","https://openalex.org/W2999081893","https://openalex.org/W3013272873","https://openalex.org/W3098486933","https://openalex.org/W3135061476","https://openalex.org/W3164943027","https://openalex.org/W4200120833","https://openalex.org/W4210426163","https://openalex.org/W6652256974","https://openalex.org/W6775123631"],"related_works":["https://openalex.org/W4388808755","https://openalex.org/W2766067461","https://openalex.org/W4322761281","https://openalex.org/W2973946289","https://openalex.org/W2884086002","https://openalex.org/W4238233472","https://openalex.org/W3111395152","https://openalex.org/W2563093951","https://openalex.org/W4248530909","https://openalex.org/W2496041693"],"abstract_inverted_index":{"Nowadays,":[0],"Machine":[1],"learning":[2],"(ML)":[3],"plays":[4],"a":[5,24,79,100,148,171],"significant":[6],"role":[7],"in":[8,65,92,96,111,154,164,170],"Industrial":[9,93],"Analytics.":[10],"It":[11],"enables":[12,40],"predictive":[13,149],"analytics,":[14],"and":[15,43,86,124,143,146],"helps":[16],"uncovering":[17],"essential":[18,32],"insights":[19],"to":[20,52,82,121,128,189],"transform":[21],"industries.":[22],"As":[23],"result,":[25],"real-time":[26,44],"data":[27,87,117,144],"analytics":[28,45],"has":[29],"become":[30],"an":[31,155],"requirement":[33],"for":[34,49,141],"industrial":[35],"engineering":[36],"jobs.":[37],"Edge":[38],"computing":[39,103,174],"local":[41],"intelligence":[42],"that":[46,110],"are":[47],"key":[48],"industry":[50],"processes":[51],"take":[53],"autonomous":[54],"decisions":[55],"locally":[56],"at":[57,105],"the":[58,61,70,97,106,114,182],"edge":[59,66,173],"of":[60,89,99,102,116,166,168,184],"network.":[62],"However,":[63],"outages":[64],"datacenters":[67],"can":[68],"jeopardize":[69],"whole":[71],"plant":[72],"security.":[73],"In":[74,133],"this":[75,112,134],"paper,":[76,135],"we":[77,136],"proposed":[78,162],"practical":[80],"approach":[81,140,163],"effectively":[83],"handling":[84],"service":[85,142],"migration":[88],"ML-based":[90],"applications":[91],"Analytics":[94],"scenarios":[95],"presence":[98],"lack":[101],"resources":[104],"edge.":[107],"We":[108,159],"argue":[109],"context":[113],"value":[115],"is":[118,125],"inversely":[119],"proportional":[120],"their":[122],"age":[123],"very":[126],"important":[127],"work":[129],"with":[130,187],"fresher":[131],"data.":[132],"describe":[137],"our":[138,161,185],"architectural":[139],"handoff":[145],"show":[147,181],"diagnostics":[150],"case":[151],"study":[152],"deployed":[153],"edge-enabled":[156],"IIoT":[157],"infrastructure.":[158],"evaluate":[160],"terms":[165],"drop":[167],"accuracy":[169],"well-known":[172],"emulator,":[175],"i.e.,":[176],"openLEON.":[177],"The":[178],"experimental":[179],"results":[180],"benefit":[183],"solution":[186],"respect":[188],"standard":[190],"techniques.":[191]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}