{"id":"https://openalex.org/W4410342237","doi":"https://doi.org/10.1109/icnc64010.2025.10993728","title":"Accelerating Machine Learning Models for Video Streaming Traffic","display_name":"Accelerating Machine Learning Models for Video Streaming Traffic","publication_year":2025,"publication_date":"2025-02-17","ids":{"openalex":"https://openalex.org/W4410342237","doi":"https://doi.org/10.1109/icnc64010.2025.10993728"},"language":"en","primary_location":{"id":"doi:10.1109/icnc64010.2025.10993728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc64010.2025.10993728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Computing, Networking and Communications (ICNC)","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/A5021670095","display_name":"Bence Lad\u00f3czki","orcid":"https://orcid.org/0000-0002-5056-4184"},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Bence Lad\u00f3czki","raw_affiliation_strings":["Budapest University of Technology and Economics,HUN-REN Information Systems Research Group"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Budapest University of Technology and Economics,HUN-REN Information Systems Research Group","institution_ids":["https://openalex.org/I29770179"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021670095"],"corresponding_institution_ids":["https://openalex.org/I29770179"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08939443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"300","last_page":"306"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9865999817848206,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9648000001907349,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7699339389801025},{"id":"https://openalex.org/keywords/video-streaming","display_name":"Video streaming","score":0.7144883871078491},{"id":"https://openalex.org/keywords/streaming-current","display_name":"Streaming current","score":0.538995087146759},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4083567261695862},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3826720714569092},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36966145038604736}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7699339389801025},{"id":"https://openalex.org/C2986160907","wikidata":"https://www.wikidata.org/wiki/Q220499","display_name":"Video streaming","level":2,"score":0.7144883871078491},{"id":"https://openalex.org/C30311675","wikidata":"https://www.wikidata.org/wiki/Q7622689","display_name":"Streaming current","level":3,"score":0.538995087146759},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4083567261695862},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3826720714569092},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36966145038604736},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C27703432","wikidata":"https://www.wikidata.org/wiki/Q2778467","display_name":"Electrokinetic phenomena","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc64010.2025.10993728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc64010.2025.10993728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Computing, Networking and Communications (ICNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1481277647","https://openalex.org/W1516506771","https://openalex.org/W1521553548","https://openalex.org/W1524416683","https://openalex.org/W1813449438","https://openalex.org/W1978421850","https://openalex.org/W1985987493","https://openalex.org/W2004026774","https://openalex.org/W2025518782","https://openalex.org/W2035060716","https://openalex.org/W2041855183","https://openalex.org/W2053463056","https://openalex.org/W2071728865","https://openalex.org/W2073089243","https://openalex.org/W2096118443","https://openalex.org/W2101222264","https://openalex.org/W2119271160","https://openalex.org/W2120375663","https://openalex.org/W2121973001","https://openalex.org/W2122226347","https://openalex.org/W2149274049","https://openalex.org/W2150779517","https://openalex.org/W2156123711","https://openalex.org/W2157349061","https://openalex.org/W2303512020","https://openalex.org/W2586119175","https://openalex.org/W2606697812","https://openalex.org/W2740604066","https://openalex.org/W2761741940","https://openalex.org/W2783266190","https://openalex.org/W2787894218","https://openalex.org/W2792199617","https://openalex.org/W2856782974","https://openalex.org/W2890079987","https://openalex.org/W2891239219","https://openalex.org/W2921769405","https://openalex.org/W2948526509","https://openalex.org/W2954729882","https://openalex.org/W2955832163","https://openalex.org/W3004071962","https://openalex.org/W3007940350","https://openalex.org/W3020161821","https://openalex.org/W3037837940","https://openalex.org/W3129593689","https://openalex.org/W3151983878","https://openalex.org/W3163885138","https://openalex.org/W3183974872","https://openalex.org/W3188525490","https://openalex.org/W3206637460","https://openalex.org/W4221120091","https://openalex.org/W4229706427","https://openalex.org/W4237357939","https://openalex.org/W4255738146","https://openalex.org/W4285113911","https://openalex.org/W4379469712","https://openalex.org/W4381786561","https://openalex.org/W4384703215","https://openalex.org/W4386385252","https://openalex.org/W4387885697","https://openalex.org/W4391547798","https://openalex.org/W6639680630","https://openalex.org/W6639822106","https://openalex.org/W6659684181","https://openalex.org/W6768333702","https://openalex.org/W6810036186","https://openalex.org/W6845882493","https://openalex.org/W6908830390"],"related_works":["https://openalex.org/W2082545560","https://openalex.org/W2063577264","https://openalex.org/W2109631460","https://openalex.org/W2020222763","https://openalex.org/W4235833544","https://openalex.org/W4280550966","https://openalex.org/W2906305215","https://openalex.org/W2606501346","https://openalex.org/W2382527584","https://openalex.org/W3162258837"],"abstract_inverted_index":{"The":[0,97,121,169],"increasing":[1],"popularity":[2],"of":[3,17,40,48,77,80,99,129,138,157],"video":[4,65],"streaming":[5,19,66],"platforms":[6],"poses":[7],"new":[8],"challenges":[9,32],"to":[10,61,69,87],"network":[11,23,105],"operators":[12],"as":[13,185],"a":[14,103,143],"large":[15],"proportion":[16],"the":[18,22,38,44,75,153,158,163,178],"traffic":[20],"traverses":[21],"in":[24,33],"an":[25],"encrypted":[26],"format.":[27],"Network":[28],"administrators":[29],"face":[30],"significant":[31,165],"accurately":[34],"monitoring":[35],"and":[36,43,63,68,83,114,131,160,177],"assessing":[37],"Quality":[39,47],"Service":[41],"(QoS)":[42],"end":[45],"users\u2019":[46],"Experience":[49],"(QoE).":[50],"Tackling":[51],"these":[52,183],"difficulties,":[53],"machine":[54],"learning(ML)-based":[55],"prediction":[56],"models":[57,86,123],"are":[58,124,171,180],"frequently":[59],"deployed":[60],"classify":[62],"recognise":[64],"patterns":[67],"gauge":[70],"QoS/QoE.":[71],"Here":[72],"we":[73],"follow":[74],"lines":[76],"scientific":[78],"endeavours":[79],"other":[81],"researchers":[82],"utilise":[84],"ML":[85,100,122],"infer":[88],"user-side":[89],"metrics":[90,176,184],"relying":[91],"solely":[92],"on":[93,126],"transport":[94,119],"layer":[95],"statistics.":[96],"performance":[98],"classifiers":[101,179],"including":[102],"neural":[104],"is":[106,140,149],"evaluated":[107,181],"for":[108,132,167],"YouTube":[109,111],"Live,":[110],"Gaming,":[112],"Twitch":[113],"CNBC":[115],"videos":[116],"with":[117,142,173],"compressed":[118,145],"data.":[120],"trained":[125],"several":[127],"gigabytes":[128],"data":[130],"some":[133],"parameters,":[134],"more":[135],"than":[136],"80%":[137],"accuracy":[139],"attained":[141],"highly":[144],"dataset.":[146],"Data":[147],"compression":[148],"achieved":[150],"by":[151],"calculating":[152],"singular":[154],"value":[155],"decomposition":[156],"dataset":[159],"keeping":[161],"only":[162],"most":[164],"vectors":[166],"prediction.":[168],"results":[170],"supplemented":[172],"comprehensive":[174],"QoE":[175],"against":[182],"well.":[186]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}