{"id":"https://openalex.org/W2981079945","doi":"https://doi.org/10.1109/access.2019.2948160","title":"ML4IoT: A Framework to Orchestrate Machine Learning Workflows on Internet of Things Data","display_name":"ML4IoT: A Framework to Orchestrate Machine Learning Workflows on Internet of Things Data","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2981079945","doi":"https://doi.org/10.1109/access.2019.2948160","mag":"2981079945"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2948160","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948160","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876834.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876834.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jose M. Alves","orcid":null},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jose M. Alves","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Western University, London, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Western University, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037165857","display_name":"Leonardo de Mello Hon\u00f3rio","orcid":"https://orcid.org/0000-0003-2735-4792"},"institutions":[{"id":"https://openalex.org/I101100930","display_name":"Universidade Federal de Juiz de Fora","ror":"https://ror.org/04yqw9c44","country_code":"BR","type":"education","lineage":["https://openalex.org/I101100930"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leonardo M. Honorio","raw_affiliation_strings":["Department of Electrical Energy, Federal University of Juiz de Fora, Juiz de Fora, Brazil"],"raw_orcid":"https://orcid.org/0000-0003-2735-4792","affiliations":[{"raw_affiliation_string":"Department of Electrical Energy, Federal University of Juiz de Fora, Juiz de Fora, Brazil","institution_ids":["https://openalex.org/I101100930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083634004","display_name":"Miriam A. M. Capretz","orcid":"https://orcid.org/0000-0002-1380-971X"},"institutions":[{"id":"https://openalex.org/I125749732","display_name":"Western University","ror":"https://ror.org/02grkyz14","country_code":"CA","type":"education","lineage":["https://openalex.org/I125749732"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Miriam A. M. Capretz","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Western University, London, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-1380-971X","affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Western University, London, ON, Canada","institution_ids":["https://openalex.org/I125749732"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.7353,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88891611,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"152953","last_page":"152967"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9987999796867371,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9987999796867371,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9950000047683716,"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":0.8703256845474243},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.8046987652778625},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5400804281234741},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5270357728004456},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.44118860363960266},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4080588221549988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35553449392318726},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.27676939964294434},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2546718716621399}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8703256845474243},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.8046987652778625},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5400804281234741},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5270357728004456},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.44118860363960266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4080588221549988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35553449392318726},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.27676939964294434},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2546718716621399},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2019.2948160","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948160","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876834.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3bc030293e564b2d95b669863e14b7b7","is_oa":true,"landing_page_url":"https://doaj.org/article/3bc030293e564b2d95b669863e14b7b7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 152953-152967 (2019)","raw_type":"article"},{"id":"pmh:oai:ir.lib.uwo.ca:electricalpub-1181","is_oa":true,"landing_page_url":"https://ir.lib.uwo.ca/electricalpub/172","pdf_url":null,"source":{"id":"https://openalex.org/S4306400648","display_name":"Scholarship@Western (Western University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I125749732","host_organization_name":"Western University","host_organization_lineage":["https://openalex.org/I125749732"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Electrical and Computer Engineering Publications","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2948160","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948160","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876834.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1961216696","display_name":null,"funder_award_id":"STPGP 506840-17","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2981079945.pdf","grobid_xml":"https://content.openalex.org/works/W2981079945.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W159032451","https://openalex.org/W1635892993","https://openalex.org/W1810406100","https://openalex.org/W1914401667","https://openalex.org/W2173213060","https://openalex.org/W2189162242","https://openalex.org/W2280261975","https://openalex.org/W2293066912","https://openalex.org/W2330029115","https://openalex.org/W2521054263","https://openalex.org/W2529556398","https://openalex.org/W2731785630","https://openalex.org/W2743948853","https://openalex.org/W2752032793","https://openalex.org/W2754051771","https://openalex.org/W2761901817","https://openalex.org/W2783822949","https://openalex.org/W2794670651","https://openalex.org/W2795411881","https://openalex.org/W2800951337","https://openalex.org/W2874988644","https://openalex.org/W2897668203","https://openalex.org/W2900470974","https://openalex.org/W2907301012","https://openalex.org/W2912348871","https://openalex.org/W2927219253","https://openalex.org/W2962746093","https://openalex.org/W2963065629","https://openalex.org/W4297729342","https://openalex.org/W4320013936","https://openalex.org/W6606515224","https://openalex.org/W6687241523","https://openalex.org/W6754993503","https://openalex.org/W6755070437","https://openalex.org/W6982728064"],"related_works":["https://openalex.org/W2770234245","https://openalex.org/W96612179","https://openalex.org/W4229499248","https://openalex.org/W2566006169","https://openalex.org/W1567818861","https://openalex.org/W2987774938","https://openalex.org/W4256492088","https://openalex.org/W632915154","https://openalex.org/W2055733372","https://openalex.org/W3022067003"],"abstract_inverted_index":{"Internet":[0],"of":[1,8,13,30,35,81,128,137,140,174],"Things":[2],"(IoT)":[3],"applications":[4],"generate":[5],"vast":[6],"amounts":[7],"real-time":[9],"data.":[10],"Temporal":[11],"analysis":[12],"these":[14],"data":[15,42,115,129,193],"series":[16],"to":[17,23,46,88,120,165,169],"discover":[18],"behavioural":[19],"patterns":[20],"may":[21,99],"lead":[22,87],"qualified":[24],"knowledge":[25],"affecting":[26],"a":[27,62,102,146,158],"broad":[28],"range":[29],"industries.":[31],"Hence,":[32],"the":[33,44,109,135,185],"use":[34,166],"machine":[36],"learning":[37],"(ML)":[38],"algorithms":[39],"over":[40],"IoT":[41,114,191],"has":[43,162],"potential":[45],"improve":[47],"safety,":[48],"economy,":[49],"and":[50,70,79,92,96,155,172,198],"performance":[51],"in":[52,178],"critical":[53],"processes.":[54],"However,":[55],"creating":[56],"ML":[57,83,122,141,176],"workflows":[58],"at":[59],"scale":[60],"is":[61,118],"challenging":[63],"task":[64],"that":[65,184],"depends":[66],"upon":[67],"both":[68],"production":[69,90],"specialized":[71],"skills.":[72],"Such":[73],"tasks":[74],"require":[75],"investigation,":[76],"understanding,":[77],"selection,":[78],"implementation":[80,136],"specific":[82],"workflows,":[84,123],"which":[85,117],"often":[86],"bottlenecks,":[89],"issues,":[91],"code":[93],"management":[94],"complexity":[95],"even":[97],"then":[98],"not":[100],"have":[101],"final":[103],"desirable":[104],"outcome.":[105],"This":[106],"paper":[107],"proposes":[108],"Machine":[110],"Learning":[111],"Framework":[112],"for":[113],"(ML4IoT),":[116],"designed":[119,164],"orchestrate":[121],"particularly":[124],"on":[125],"large":[126],"volumes":[127],"series.":[130],"The":[131,180],"ML4IoT":[132,161],"framework":[133,187],"enables":[134],"several":[138],"types":[139],"models,":[142],"each":[143],"one":[144],"with":[145],"different":[147],"workflow.":[148],"These":[149],"models":[150,177],"can":[151,188],"be":[152],"easily":[153],"configured":[154],"used":[156],"through":[157],"simple":[159],"pipeline.":[160],"been":[163],"container-based":[167],"components":[168],"enable":[170],"training":[171],"deployment":[173],"various":[175],"parallel.":[179],"results":[181],"obtained":[182],"suggest":[183],"proposed":[186],"manage":[189],"real-world":[190],"heterogeneous":[192],"by":[194],"providing":[195],"elasticity,":[196],"robustness,":[197],"performance.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}