{"id":"https://openalex.org/W4401539291","doi":"https://doi.org/10.1109/infocomwkshps61880.2024.10620828","title":"Network Traffic Prediction Using PSO-LightGBM- TM","display_name":"Network Traffic Prediction Using PSO-LightGBM- TM","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4401539291","doi":"https://doi.org/10.1109/infocomwkshps61880.2024.10620828"},"language":"en","primary_location":{"id":"doi:10.1109/infocomwkshps61880.2024.10620828","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/infocomwkshps61880.2024.10620828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","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/A5090022814","display_name":"Feng Li","orcid":"https://orcid.org/0000-0002-1711-3891"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Li","raw_affiliation_strings":["School of Information and Electronic Engineering, Zhejiang Gongshang University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Zhejiang Gongshang University,Hangzhou,China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067110169","display_name":"Wei Nie","orcid":"https://orcid.org/0000-0002-6048-0515"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Nie","raw_affiliation_strings":["School of Information and Electronic Engineering, Zhejiang Gongshang University,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Zhejiang Gongshang University,Hangzhou,China","institution_ids":["https://openalex.org/I75059550"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103392821","display_name":"Kwok-Yan Lam","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kwok-Yan Lam","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101952163","display_name":"Bowen Shen","orcid":"https://orcid.org/0000-0002-7913-4786"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bowen Shen","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University,Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University,Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100413431","display_name":"Xiuhua Li","orcid":"https://orcid.org/0000-0001-9041-0297"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuhua Li","raw_affiliation_strings":["School of Big Data &#x0026; Software Engineering, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data &#x0026; Software Engineering, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]}],"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":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.4632999897003174,"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"}},"topics":[{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.4632999897003174,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.3993000090122223,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5637863278388977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5168519616127014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33525991439819336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5637863278388977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5168519616127014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33525991439819336}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocomwkshps61880.2024.10620828","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/infocomwkshps61880.2024.10620828","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1485009520","https://openalex.org/W1517323987","https://openalex.org/W1781203180","https://openalex.org/W2012546067","https://openalex.org/W2064675550","https://openalex.org/W2145563843","https://openalex.org/W2157331557","https://openalex.org/W2165404743","https://openalex.org/W2246448141","https://openalex.org/W2295598076","https://openalex.org/W2564478194","https://openalex.org/W2604847698","https://openalex.org/W2614459600","https://openalex.org/W2754051771","https://openalex.org/W3003635954","https://openalex.org/W3048686393","https://openalex.org/W3080253043","https://openalex.org/W3103720336","https://openalex.org/W3200247731","https://openalex.org/W4287393709","https://openalex.org/W4385245566","https://openalex.org/W6628877408","https://openalex.org/W6730760672","https://openalex.org/W6738647598","https://openalex.org/W6785773631","https://openalex.org/W6787725836"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Network":[0],"traffic":[1,16,26,43,63,96,127],"prediction":[2,64,149],"is":[3,19],"critical":[4],"in":[5,28,51],"wireless":[6],"network":[7,32,42,82,95,126],"management":[8],"by":[9,84],"allowing":[10],"a":[11,62,109],"good":[12],"estimate":[13],"of":[14,93],"the":[15,48,77,94,137],"trend,":[17],"which":[18,75],"also":[20],"an":[21],"important":[22],"approach":[23],"for":[24,80],"detecting":[25],"anomalies":[27],"order":[29],"to":[30,40,91],"enhance":[31],"security.":[33],"Deep-learning-based":[34],"method":[35],"has":[36,108],"been":[37,134],"widely":[38],"adopted":[39],"predict":[41],"matrix":[44],"(TM)":[45],"though":[46],"with":[47,99],"main":[49],"drawbacks":[50],"high":[52],"complexity":[53],"and":[54,72,113,131,136,147],"low":[55],"efficiency.":[56,150],"In":[57],"this":[58],"paper,":[59],"we":[60],"propose":[61],"model":[65,107,142],"based":[66],"on":[67,123],"Particle":[68],"Swarm":[69],"Optimization":[70],"(PSO)":[71],"LightGBM":[73,78,88],"(PSO-LightGBM-TM),":[74],"optimizes":[76],"parameters":[79],"each":[81,92],"flow":[83],"PSO":[85],"so":[86],"that":[87,140],"can":[89],"adapt":[90],"flow.":[97],"Compared":[98],"existing":[100,116],"commonly":[101],"used":[102],"deep":[103,117],"learning":[104,118],"models,":[105],"our":[106,141],"more":[110,144],"straightforward":[111],"structure":[112],"yet":[114],"outperforms":[115],"models.":[119],"Sufficient":[120],"comparison":[121],"tests":[122],"three":[124],"real":[125],"datasets,":[128],"Abilene,":[129],"G\u00c9ANT,":[130],"CERNET":[132],"have":[133],"conducted,":[135],"results":[138,146],"show":[139],"provides":[143],"accurate":[145],"higher":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
