{"id":"https://openalex.org/W4410286214","doi":"https://doi.org/10.3390/bdcc9050121","title":"Edge vs. Cloud: Empirical Insights into Data-Driven Condition Monitoring","display_name":"Edge vs. Cloud: Empirical Insights into Data-Driven Condition Monitoring","publication_year":2025,"publication_date":"2025-05-08","ids":{"openalex":"https://openalex.org/W4410286214","doi":"https://doi.org/10.3390/bdcc9050121"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc9050121","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9050121","pdf_url":"https://www.mdpi.com/2504-2289/9/5/121/pdf?version=1746688469","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2504-2289/9/5/121/pdf?version=1746688469","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117514048","display_name":"Chikumbutso Christopher Walani","orcid":null},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chikumbutso Christopher Walani","raw_affiliation_strings":["School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003859746","display_name":"Wesley Doorsamy","orcid":"https://orcid.org/0000-0001-9043-9882"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Wesley Doorsamy","raw_affiliation_strings":["School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK","institution_ids":["https://openalex.org/I130828816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003859746"],"corresponding_institution_ids":["https://openalex.org/I130828816"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":5.6024,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.95682401,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"9","issue":"5","first_page":"121","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9951000213623047,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9951000213623047,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9914000034332275,"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/T11719","display_name":"Data Quality and Management","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7507585287094116},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5385066270828247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4479566812515259},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3587544560432434},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32635846734046936},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14090335369110107},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07851725816726685}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7507585287094116},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5385066270828247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4479566812515259},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3587544560432434},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32635846734046936},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14090335369110107},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07851725816726685}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/bdcc9050121","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9050121","pdf_url":"https://www.mdpi.com/2504-2289/9/5/121/pdf?version=1746688469","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:228671","is_oa":false,"landing_page_url":"https://orcid.org/0000-0001-9043-9882>","pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"},{"id":"pmh:oai:doaj.org/article:4274eb2ddd8e448e979b6be4de0bdf0d","is_oa":true,"landing_page_url":"https://doaj.org/article/4274eb2ddd8e448e979b6be4de0bdf0d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 9, Iss 5, p 121 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc9050121","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc9050121","pdf_url":"https://www.mdpi.com/2504-2289/9/5/121/pdf?version=1746688469","source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320298","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410286214.pdf","grobid_xml":"https://content.openalex.org/works/W4410286214.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W1987553435","https://openalex.org/W2015305216","https://openalex.org/W2036947671","https://openalex.org/W2113026618","https://openalex.org/W2132265582","https://openalex.org/W2342603028","https://openalex.org/W2889475028","https://openalex.org/W2901148392","https://openalex.org/W2913289332","https://openalex.org/W2947739121","https://openalex.org/W2963412823","https://openalex.org/W2966914969","https://openalex.org/W2980961086","https://openalex.org/W2996184993","https://openalex.org/W3009018976","https://openalex.org/W3011249019","https://openalex.org/W3017210109","https://openalex.org/W3043320740","https://openalex.org/W3047463300","https://openalex.org/W3089385281","https://openalex.org/W3090675507","https://openalex.org/W3098362015","https://openalex.org/W3111404062","https://openalex.org/W3116305792","https://openalex.org/W4200102447","https://openalex.org/W4205976852","https://openalex.org/W4206187458","https://openalex.org/W4220969192","https://openalex.org/W4281742020","https://openalex.org/W4283798682","https://openalex.org/W4292451808","https://openalex.org/W4302368431","https://openalex.org/W4304820105","https://openalex.org/W4313006246","https://openalex.org/W4316660949","https://openalex.org/W4322629692","https://openalex.org/W4327781374","https://openalex.org/W4380224915","https://openalex.org/W4381685981","https://openalex.org/W4385187344","https://openalex.org/W4387220067","https://openalex.org/W4388207589","https://openalex.org/W4388270026","https://openalex.org/W4389544727","https://openalex.org/W4393900891","https://openalex.org/W4393956392","https://openalex.org/W4396909775","https://openalex.org/W4400101247","https://openalex.org/W4400873297","https://openalex.org/W4402571607","https://openalex.org/W6786990900","https://openalex.org/W6853628459","https://openalex.org/W6856969376"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4244478748","https://openalex.org/W3150465815","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919"],"abstract_inverted_index":{"This":[0],"study":[1,135,163],"evaluates":[2],"edge":[3,108],"and":[4,25,36,70,84,101,114,122,139,174,191,203],"cloud":[5,79],"computing":[6,40,151],"paradigms":[7,41],"in":[8,42,111,146,178],"the":[9,22,78,104,107,143,148,158,161,179],"context":[10,180],"of":[11,15,44,160,181,195],"data-driven":[12],"condition":[13,154],"monitoring":[14,155],"rotating":[16],"electrical":[17],"machines.":[18],"Two":[19],"well-known":[20],"platforms,":[21],"Raspberry":[23],"Pi":[24],"Amazon":[26],"Web":[27],"Services":[28],"Elastic":[29],"Compute":[30],"Cloud,":[31],"are":[32,59,125],"used":[33],"to":[34,127,167],"compare":[35],"contrast":[37],"these":[38],"two":[39],"terms":[43],"different":[45],"metrics":[46],"associated":[47],"with":[48,131],"their":[49],"application":[50],"suitability.":[51],"The":[52,73,134],"tested":[53],"induction":[54],"machine":[55,93,183],"fault":[56],"diagnosis":[57],"models":[58],"developed":[60],"using":[61],"popular":[62],"algorithms,":[63],"namely":[64],"support":[65],"vector":[66],"machines,":[67],"k-nearest":[68],"neighbours,":[69],"decision":[71],"trees.":[72],"findings":[74],"reveal":[75],"that":[76],"while":[77],"platform":[80,109],"offers":[81,188],"superior":[82],"computational":[83,121,171],"memory":[85,123],"resources,":[86],"making":[87],"it":[88,96],"more":[89],"suitable":[90,150],"for":[91,153],"complex":[92],"learning":[94,184],"tasks,":[95],"also":[97],"incurs":[98],"higher":[99],"costs":[100],"latency.":[102],"On":[103],"other":[105,196],"hand,":[106],"excels":[110],"real-time":[112],"processing":[113],"reduces":[115],"network":[116,201],"data":[117],"burden,":[118],"but":[119],"its":[120],"resources":[124],"found":[126],"be":[128],"a":[129],"limitation":[130],"certain":[132],"tasks.":[133],"provides":[136],"both":[137],"quantitative":[138],"qualitative":[140],"insights":[141],"into":[142],"trade-offs":[144],"involved":[145],"selecting":[147],"most":[149],"approach":[152],"applications.":[156],"Although":[157],"scope":[159],"empirical":[162],"is":[164],"primarily":[165],"limited":[166],"factors":[168],"such":[169],"as":[170],"efficiency,":[172],"scalability,":[173],"resource":[175],"utilisation,":[176],"particularly":[177],"specific":[182],"models,":[185],"this":[186],"paper":[187],"broader":[189],"discussion":[190],"future":[192],"research":[193],"directions":[194],"key":[197],"issues,":[198],"including":[199],"latency,":[200],"variability,":[202],"energy":[204],"consumption.":[205]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
