{"id":"https://openalex.org/W2966914969","doi":"https://doi.org/10.1109/metroi4.2019.8792860","title":"Performance evaluation of full-cloud and edge-cloud architectures for Industrial IoT anomaly detection based on deep learning","display_name":"Performance evaluation of full-cloud and edge-cloud architectures for Industrial IoT anomaly detection based on deep learning","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2966914969","doi":"https://doi.org/10.1109/metroi4.2019.8792860","mag":"2966914969"},"language":"en","primary_location":{"id":"doi:10.1109/metroi4.2019.8792860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroi4.2019.8792860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT)","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/A5017887033","display_name":"Paolo Ferrari","orcid":"https://orcid.org/0000-0002-6349-4410"},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"P. Ferrari","raw_affiliation_strings":["Dept. of Information Engineering, University of Brescia, Brescia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, University of Brescia, Brescia, Italy","institution_ids":["https://openalex.org/I79940851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007335960","display_name":"Stefano Rinaldi","orcid":"https://orcid.org/0000-0001-7300-1053"},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"S. Rinaldi","raw_affiliation_strings":["Dept. of Information Engineering, University of Brescia, Brescia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, University of Brescia, Brescia, Italy","institution_ids":["https://openalex.org/I79940851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076825230","display_name":"Emiliano Sisinni","orcid":"https://orcid.org/0000-0001-5012-443X"},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"E. Sisinni","raw_affiliation_strings":["Dept. of Information Engineering, University of Brescia, Brescia, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information Engineering, University of Brescia, Brescia, Italy","institution_ids":["https://openalex.org/I79940851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079734821","display_name":"Florian Colombo","orcid":"https://orcid.org/0000-0002-9523-3629"},"institutions":[{"id":"https://openalex.org/I4210093892","display_name":"SmartFactory (Germany)","ror":"https://ror.org/00k5ek978","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210093892"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"F. Colombo","raw_affiliation_strings":["40Factory Srl"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"40Factory Srl","institution_ids":["https://openalex.org/I4210093892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072700850","display_name":"F. Ghelfi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093892","display_name":"SmartFactory (Germany)","ror":"https://ror.org/00k5ek978","country_code":"DE","type":"company","lineage":["https://openalex.org/I4210093892"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"F. Ghelfi","raw_affiliation_strings":["40Factory Srl"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"40Factory Srl","institution_ids":["https://openalex.org/I4210093892"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069237018","display_name":"D. Maffei","orcid":"https://orcid.org/0000-0001-5937-1541"},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"D. Maffei","raw_affiliation_strings":["Siemens Spa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens Spa","institution_ids":["https://openalex.org/I1325886976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037538586","display_name":"M. Malara","orcid":null},"institutions":[{"id":"https://openalex.org/I1325886976","display_name":"Siemens (Germany)","ror":"https://ror.org/059mq0909","country_code":"DE","type":"company","lineage":["https://openalex.org/I1325886976"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"M. Malara","raw_affiliation_strings":["Siemens Spa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Siemens Spa","institution_ids":["https://openalex.org/I1325886976"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"420","last_page":"425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9994999766349792,"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/T10917","display_name":"Smart Grid Security and Resilience","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9941999912261963,"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/cloud-computing","display_name":"Cloud computing","score":0.9059691429138184},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.7431081533432007},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6792686581611633},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.670960009098053},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.6183191537857056},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6172323822975159},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4648783206939697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3431611657142639},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2598602771759033},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11322885751724243}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.9059691429138184},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7431081533432007},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6792686581611633},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.670960009098053},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.6183191537857056},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6172323822975159},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4648783206939697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3431611657142639},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2598602771759033},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11322885751724243},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/metroi4.2019.8792860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/metroi4.2019.8792860","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4.0&IoT)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unibs.it:11379/526680","is_oa":false,"landing_page_url":"http://hdl.handle.net/11379/526680","pdf_url":null,"source":{"id":"https://openalex.org/S4306400804","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Brescia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"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":[{"id":"https://metadata.un.org/sdg/9","score":0.6399999856948853,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1977055495","https://openalex.org/W2002449324","https://openalex.org/W2013746897","https://openalex.org/W2020041214","https://openalex.org/W2038194220","https://openalex.org/W2064675550","https://openalex.org/W2066076302","https://openalex.org/W2098263691","https://openalex.org/W2211036921","https://openalex.org/W2325688788","https://openalex.org/W2326379611","https://openalex.org/W2411741275","https://openalex.org/W2467904669","https://openalex.org/W2483224304","https://openalex.org/W2495979422","https://openalex.org/W2554861503","https://openalex.org/W2769919275","https://openalex.org/W2770072680","https://openalex.org/W2786827964","https://openalex.org/W2795387488","https://openalex.org/W2801175696","https://openalex.org/W2804909539","https://openalex.org/W2808494207","https://openalex.org/W2812770691","https://openalex.org/W2816686957","https://openalex.org/W2893198393","https://openalex.org/W2900993339","https://openalex.org/W2902264868","https://openalex.org/W2902455138","https://openalex.org/W2919115771","https://openalex.org/W2919650678","https://openalex.org/W3106543020","https://openalex.org/W4210850202","https://openalex.org/W4246020459","https://openalex.org/W4248979535","https://openalex.org/W6719824013","https://openalex.org/W6756753118"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2667207928","https://openalex.org/W2912112202","https://openalex.org/W4377864969","https://openalex.org/W3120251014"],"abstract_inverted_index":{"One":[0],"of":[1,6,15,62,67,84,91,97,157,186],"the":[2,12,24,31,38,52,60,85,92,112,118,124,155,158,177,187,208,219,235,240],"most":[3],"interesting":[4],"application":[5],"data":[7,105,128,144],"analysis":[8],"to":[9,26,41,55,71,123,132,175],"industry":[10],"is":[11,40,79,89,139,146,165,171,247],"real-time":[13],"detection":[14,33,78,163],"anomalies":[16],"during":[17],"production.":[18],"Industrial":[19],"IoT":[20],"paradigm":[21],"includes":[22],"all":[23],"components":[25],"realize":[27],"predictive":[28],"systems,":[29],"like":[30],"anomaly":[32,77,162],"ones.":[34],"In":[35,148,205],"this":[36,95,149],"case,":[37],"goal":[39],"discover":[42],"patterns,":[43],"in":[44,117,173],"a":[45,151],"given":[46],"dataset,":[47],"that":[48,234],"do":[49],"not":[50],"resemble":[51],"\u201cnormal\u201d":[53],"behavior,":[54],"identify":[56],"faults,":[57],"malfunctions":[58],"or":[59],"effects":[61],"bad":[63],"maintenance.":[64],"The":[65,82,179,231],"use":[66,169,210],"complex":[68],"neural":[69],"networks":[70],"implement":[72],"deep":[73,86,195],"learning":[74,87,196],"algorithm":[75,88,98],"for":[76,154,161,198,207],"very":[80],"common.":[81],"position":[83],"one":[90],"main":[93],"problem:":[94],"kind":[96],"requires":[99,131],"both":[100],"high":[101],"computational":[102],"power":[103,246],"and":[104,191,215,225],"transfer":[106,129,145],"bandwidth,":[107],"rising":[108],"serious":[109],"questions":[110],"on":[111],"system":[113,164],"scalability.":[114],"Data":[115],"elaboration":[116],"edge":[119,190],"domain":[120],"(i.e.":[121],"close":[122],"machine)":[125],"usually":[126,140],"reduce":[127],"but":[130,142],"instantiate":[133],"expensive":[134],"physical":[135],"assets.":[136],"Cloud":[137,143,192,244],"computing":[138],"cheaper":[141],"expensive.":[147],"paper":[150],"test":[152],"methodology":[153],"comparison":[156],"two":[159],"architectures":[160],"proposed.":[166],"A":[167],"real":[168],"case":[170,211],"described":[172],"order":[174],"demonstrate":[176],"feasibility.":[178],"experimental":[180],"results":[181,232],"show":[182,233],"that,":[183],"by":[184],"means":[185],"proposed":[188],"methodology,":[189],"solutions":[193],"implementing":[194],"algorithms":[197],"industrial":[199],"applications":[200],"can":[201,238],"be":[202],"easily":[203],"evaluated.":[204],"details,":[206],"considered":[209],"(with":[212],"Siemens":[213],"controller":[214],"Microsoft":[216],"Azure":[217],"platform)":[218],"tradeoff":[220],"between":[221],"scalability,":[222],"communication":[223],"delay,":[224],"bandwidth":[226],"usage,":[227],"has":[228],"been":[229],"studied.":[230],"full-cloud":[236],"architecture":[237,242],"outperform":[239],"edge-cloud":[241],"when":[243],"computation":[245],"scaled.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}