{"id":"https://openalex.org/W3014831887","doi":"https://doi.org/10.1109/tnsm.2020.2983921","title":"Evaluating the Four-Way Performance Trade-Off for Data Stream Classification in Edge Computing","display_name":"Evaluating the Four-Way Performance Trade-Off for Data Stream Classification in Edge Computing","publication_year":2020,"publication_date":"2020-03-31","ids":{"openalex":"https://openalex.org/W3014831887","doi":"https://doi.org/10.1109/tnsm.2020.2983921","mag":"3014831887"},"language":"en","primary_location":{"id":"doi:10.1109/tnsm.2020.2983921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2020.2983921","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network and Service Management","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arts.units.it/bitstream/11368/3014641/4/3014641_Evaluating_the_Four-Way_Performance_Trade-Off_for_Data_Stream_Classification_in_Edge_Computing-Post_print.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054736633","display_name":"Jessica Fernandes Lopes","orcid":"https://orcid.org/0000-0002-2871-7252"},"institutions":[{"id":"https://openalex.org/I127110123","display_name":"Universidade Estadual de Londrina","ror":"https://ror.org/01585b035","country_code":"BR","type":"education","lineage":["https://openalex.org/I127110123"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jessica Fernandes Lopes","raw_affiliation_strings":["Department of Computer Science, State University of Londrina, Paran\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, State University of Londrina, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I127110123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067942099","display_name":"Everton J. Santana","orcid":"https://orcid.org/0000-0002-6014-9857"},"institutions":[{"id":"https://openalex.org/I127110123","display_name":"Universidade Estadual de Londrina","ror":"https://ror.org/01585b035","country_code":"BR","type":"education","lineage":["https://openalex.org/I127110123"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Everton Jose Santana","raw_affiliation_strings":["Department of Computer Science, State University of Londrina, Paran\u00e1, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-6014-9857","affiliations":[{"raw_affiliation_string":"Department of Computer Science, State University of Londrina, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I127110123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057018101","display_name":"Victor G. Turrisi da Costa","orcid":"https://orcid.org/0000-0003-2597-4998"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Victor G. Turrisi da Costa","raw_affiliation_strings":["Department of Information Engineering and Computer Science, University of Trento, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Engineering and Computer Science, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011873799","display_name":"Bruno Bogaz Zarpel\ufffd\u00e3o","orcid":"https://orcid.org/0000-0001-9172-3578"},"institutions":[{"id":"https://openalex.org/I127110123","display_name":"Universidade Estadual de Londrina","ror":"https://ror.org/01585b035","country_code":"BR","type":"education","lineage":["https://openalex.org/I127110123"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Bruno Bogaz Zarpelao","raw_affiliation_strings":["Department of Computer Science, State University of Londrina, Paran\u00e1, Brazil"],"raw_orcid":"https://orcid.org/0000-0001-9172-3578","affiliations":[{"raw_affiliation_string":"Department of Computer Science, State University of Londrina, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I127110123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004953377","display_name":"Sylvio Barbon","orcid":"https://orcid.org/0000-0002-4988-0702"},"institutions":[{"id":"https://openalex.org/I127110123","display_name":"Universidade Estadual de Londrina","ror":"https://ror.org/01585b035","country_code":"BR","type":"education","lineage":["https://openalex.org/I127110123"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Sylvio Barbon","raw_affiliation_strings":["Department of Computer Science, State University of Londrina, Paran\u00e1, Brazil"],"raw_orcid":"https://orcid.org/0000-0002-4988-0702","affiliations":[{"raw_affiliation_string":"Department of Computer Science, State University of Londrina, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I127110123"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":0.9842,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81456295,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"17","issue":"2","first_page":"1013","last_page":"1025"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9742000102996826,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9710000157356262,"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":0.8960760235786438},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6622312068939209},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.6503178477287292},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5679242014884949},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5621823668479919},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5291733145713806},{"id":"https://openalex.org/keywords/efficient-energy-use","display_name":"Efficient energy use","score":0.49274948239326477},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45107123255729675},{"id":"https://openalex.org/keywords/predictive-analytics","display_name":"Predictive analytics","score":0.4183715283870697},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.3754846155643463},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37466737627983093},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36471548676490784},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3587246239185333},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09462147951126099}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8960760235786438},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6622312068939209},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.6503178477287292},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5679242014884949},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5621823668479919},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5291733145713806},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.49274948239326477},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45107123255729675},{"id":"https://openalex.org/C83209312","wikidata":"https://www.wikidata.org/wiki/Q1053367","display_name":"Predictive analytics","level":2,"score":0.4183715283870697},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3754846155643463},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37466737627983093},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36471548676490784},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3587246239185333},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09462147951126099},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnsm.2020.2983921","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnsm.2020.2983921","pdf_url":null,"source":{"id":"https://openalex.org/S173527311","display_name":"IEEE Transactions on Network and Service Management","issn_l":"1932-4537","issn":["1932-4537","2373-7379"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Network and Service Management","raw_type":"journal-article"},{"id":"pmh:oai:arts.units.it:11368/3014641","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9050654","pdf_url":"https://arts.units.it/bitstream/11368/3014641/4/3014641_Evaluating_the_Four-Way_Performance_Trade-Off_for_Data_Stream_Classification_in_Edge_Computing-Post_print.pdf","source":{"id":"https://openalex.org/S4306400480","display_name":"ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142444530","host_organization_name":"University of Trieste","host_organization_lineage":["https://openalex.org/I142444530"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arts.units.it:11368/3014641","is_oa":true,"landing_page_url":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9050654","pdf_url":"https://arts.units.it/bitstream/11368/3014641/4/3014641_Evaluating_the_Four-Way_Performance_Trade-Off_for_Data_Stream_Classification_in_Edge_Computing-Post_print.pdf","source":{"id":"https://openalex.org/S4306400480","display_name":"ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142444530","host_organization_name":"University of Trieste","host_organization_lineage":["https://openalex.org/I142444530"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8700000047683716,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1528431846","display_name":null,"funder_award_id":"420562/2018-4","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G247810146","display_name":null,"funder_award_id":"2018\u20104","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G5369810572","display_name":null,"funder_award_id":"420562/2018-4","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322772","display_name":"Funda\u00e7\u00e3o Arauc\u00e1ria","ror":"https://ror.org/02r7nkw81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3014831887.pdf","grobid_xml":"https://content.openalex.org/works/W3014831887.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W13530706","https://openalex.org/W1516923404","https://openalex.org/W1525647652","https://openalex.org/W1529840045","https://openalex.org/W1531836108","https://openalex.org/W1537430301","https://openalex.org/W1565746575","https://openalex.org/W1990079212","https://openalex.org/W1991076541","https://openalex.org/W1992019053","https://openalex.org/W1999148066","https://openalex.org/W1999954155","https://openalex.org/W2003261145","https://openalex.org/W2014008637","https://openalex.org/W2035489187","https://openalex.org/W2068714596","https://openalex.org/W2073256825","https://openalex.org/W2084433447","https://openalex.org/W2086364952","https://openalex.org/W2100406636","https://openalex.org/W2103485348","https://openalex.org/W2109964623","https://openalex.org/W2135335717","https://openalex.org/W2244109919","https://openalex.org/W2293050121","https://openalex.org/W2335223849","https://openalex.org/W2508807458","https://openalex.org/W2555003309","https://openalex.org/W2568772110","https://openalex.org/W2585528949","https://openalex.org/W2608861954","https://openalex.org/W2619579631","https://openalex.org/W2626498001","https://openalex.org/W2678047256","https://openalex.org/W2756396702","https://openalex.org/W2765716344","https://openalex.org/W2769559867","https://openalex.org/W2786070938","https://openalex.org/W2904738814","https://openalex.org/W2904905394","https://openalex.org/W2943801183","https://openalex.org/W2943983563","https://openalex.org/W2946406368","https://openalex.org/W2951759567","https://openalex.org/W2952426935","https://openalex.org/W2960305499","https://openalex.org/W2963375472","https://openalex.org/W2963582967","https://openalex.org/W2972832356","https://openalex.org/W2993336573","https://openalex.org/W3003253354","https://openalex.org/W3139907358","https://openalex.org/W6600552881","https://openalex.org/W6680192438"],"related_works":["https://openalex.org/W3124356676","https://openalex.org/W3107853169","https://openalex.org/W4249307902","https://openalex.org/W4402216797","https://openalex.org/W2049400599","https://openalex.org/W1841017873","https://openalex.org/W567650323","https://openalex.org/W3000555679","https://openalex.org/W4280490906","https://openalex.org/W179829755"],"abstract_inverted_index":{"Edge":[0],"computing":[1,14],"(EC)":[2],"is":[3],"a":[4,62,89,216],"promising":[5],"technology":[6],"capable":[7],"of":[8,19,26,65,88,140,169,175],"bridging":[9],"the":[10,17,24,86,96,137,141,153,167,172,196,211],"gap":[11],"between":[12],"Cloud":[13],"services":[15],"and":[16,72,75,91,118,163,171,178,193,220],"demands":[18],"emerging":[20],"technologies":[21],"such":[22,49],"as":[23,50,208],"Internet":[25],"Things":[27],"(IoT).":[28],"Most":[29],"EC-based":[30],"solutions,":[31],"from":[32,40],"wearable":[33],"devices":[34],"to":[35,45,58,106,131],"smart":[36],"cities":[37],"architectures,":[38],"benefit":[39],"Machine":[41],"Learning":[42],"(ML)":[43],"methods":[44],"perform":[46],"various":[47],"tasks,":[48],"classification.":[51],"In":[52,148],"these":[53,81,146],"cases,":[54],"ML":[55],"solutions":[56],"need":[57],"deal":[59],"efficiently":[60],"with":[61,108,177,200],"huge":[63],"amount":[64],"data,":[66],"while":[67],"balancing":[68],"predictive":[69,133,161,212],"performance,":[70,162,213],"memory":[71,164,205,219],"time":[73,157],"costs,":[74,165],"energy":[76,159,221],"consumption.":[77,206,222],"The":[78],"fact":[79],"that":[80,191],"data":[82,93,109],"usually":[83],"come":[84],"in":[85,218],"form":[87],"continuous":[90],"evolving":[92],"stream":[94,110],"makes":[95],"scenario":[97],"even":[98],"more":[99],"challenging.":[100],"Many":[101],"algorithms":[102],"have":[103],"been":[104,129],"proposed":[105],"cope":[107],"classification,":[111],"e.g.,":[112],"Very":[113],"Fast":[114],"Decision":[115],"Tree":[116],"(VFDT)":[117],"Strict":[119],"VFDT":[120,170,192],"(SVFDT).":[121],"Recently,":[122],"Online":[123],"Local":[124],"Boosting":[125],"(OLBoost)":[126],"has":[127],"also":[128,202],"introduced":[130],"improve":[132],"performance":[134],"without":[135,179],"modifying":[136],"underlying":[138],"structure":[139],"decision":[142],"tree":[143],"produced":[144],"by":[145],"algorithms.":[147],"this":[149],"work,":[150],"we":[151],"compared":[152],"four-way":[154],"relationship":[155],"among":[156],"efficiency,":[158],"consumption,":[160],"tuning":[166],"hyperparameters":[168],"two":[173],"versions":[174],"SVFDT":[176],"OLBoost.":[180],"Experiments":[181],"over":[182],"6":[183],"benchmark":[184],"datasets":[185],"using":[186],"an":[187],"EC":[188],"device":[189],"revealed":[190],"SVFDT-I":[194,201],"were":[195],"most":[197],"energy-friendly":[198],"algorithms,":[199],"significantly":[203],"reducing":[204],"OLBoost,":[207],"expected,":[209],"improved":[210],"but":[214],"caused":[215],"deterioration":[217]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-09-02T18:50:13.731487","created_date":"2020-04-10T00:00:00"}
