{"id":"https://openalex.org/W2915105189","doi":"https://doi.org/10.1109/padsw.2018.8644951","title":"Measurement and QoE Modeling of Broadband Home Networks with Large-Scale Crowdsourcing","display_name":"Measurement and QoE Modeling of Broadband Home Networks with Large-Scale Crowdsourcing","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2915105189","doi":"https://doi.org/10.1109/padsw.2018.8644951","mag":"2915105189"},"language":"en","primary_location":{"id":"doi:10.1109/padsw.2018.8644951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/padsw.2018.8644951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"},"type":"article","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/A5086161245","display_name":"Jiamei Lv","orcid":"https://orcid.org/0000-0002-6673-722X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiamei Lv","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085876298","display_name":"Yi Gao","orcid":"https://orcid.org/0000-0001-7897-5965"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Gao","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074340955","display_name":"Wei Dong","orcid":"https://orcid.org/0000-0003-0498-1494"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Dong","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18340969,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"954","last_page":"961"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9990000128746033,"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/T11158","display_name":"Wireless Networks and Protocols","score":0.9966999888420105,"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":0.7818891406059265},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.6478027701377869},{"id":"https://openalex.org/keywords/broadband","display_name":"Broadband","score":0.6172544360160828},{"id":"https://openalex.org/keywords/quality-of-experience","display_name":"Quality of experience","score":0.5803536772727966},{"id":"https://openalex.org/keywords/network-tomography","display_name":"Network tomography","score":0.48069673776626587},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4635303318500519},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.43528464436531067},{"id":"https://openalex.org/keywords/cellular-network","display_name":"Cellular network","score":0.4177912473678589},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.41423943638801575},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3787700831890106},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3611992597579956},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.19789275527000427},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.18391332030296326},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07915988564491272}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7818891406059265},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.6478027701377869},{"id":"https://openalex.org/C509933004","wikidata":"https://www.wikidata.org/wiki/Q194163","display_name":"Broadband","level":2,"score":0.6172544360160828},{"id":"https://openalex.org/C2779333187","wikidata":"https://www.wikidata.org/wiki/Q3132648","display_name":"Quality of experience","level":3,"score":0.5803536772727966},{"id":"https://openalex.org/C146368544","wikidata":"https://www.wikidata.org/wiki/Q3408544","display_name":"Network tomography","level":3,"score":0.48069673776626587},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4635303318500519},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.43528464436531067},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.4177912473678589},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.41423943638801575},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3787700831890106},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3611992597579956},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.19789275527000427},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.18391332030296326},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07915988564491272}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/padsw.2018.8644951","is_oa":false,"landing_page_url":"https://doi.org/10.1109/padsw.2018.8644951","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W962837050","https://openalex.org/W1550310549","https://openalex.org/W1576520375","https://openalex.org/W1921848483","https://openalex.org/W2106263082","https://openalex.org/W2110715322","https://openalex.org/W2125283600","https://openalex.org/W2144201174","https://openalex.org/W2158994553","https://openalex.org/W2165828254","https://openalex.org/W2335272770","https://openalex.org/W2743928210","https://openalex.org/W2827297701","https://openalex.org/W2963017388","https://openalex.org/W3122330358","https://openalex.org/W3137956290","https://openalex.org/W6634442568"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W4252147399","https://openalex.org/W2805125868","https://openalex.org/W2349785426","https://openalex.org/W2390624985"],"abstract_inverted_index":{"For":[0],"network":[1,31,49,67,73,99,114,117],"operators,":[2],"knowing":[3],"the":[4,26,34,41,61,64,72,76,113,123,127,130,137],"problems":[5,118],"in":[6,40],"their":[7,15],"networks":[8],"before":[9],"users":[10,94],"complain":[11],"can":[12],"help":[13,112],"improve":[14],"Quality-of-Experience":[16],"(QoE)and":[17],"bring":[18],"great":[19],"commercial":[20],"value.":[21],"However,":[22,66],"accurate":[23],"measurement":[24,90,128],"of":[25,29,36,63,78,98,145],"internal":[27,55],"performance":[28],"a":[30,87,103],"generally":[32],"requires":[33,70],"deployment":[35],"additional":[37],"dedicated":[38],"instrumentation":[39],"network.":[42,65],"Another":[43],"possible":[44],"approach":[45],"is":[46,133],"to":[47,52,95,111,135],"use":[48],"tomography":[50,68],"technique":[51],"infer":[53],"these":[54],"states":[56],"from":[57,60,92],"measurements":[58],"obtained":[59],"edge":[62],"usually":[69],"that":[71],"topology":[74],"and":[75,141],"path":[77],"each":[79],"probe":[80],"are":[81],"known.":[82],"In":[83],"this":[84],"paper,":[85],"using":[86],"sparse":[88],"crowdsourced":[89],"dataset":[91],"mobile":[93],"varies":[96],"types":[97],"resources,":[100],"we":[101],"build":[102],"BRAS":[104],"(broadband":[105],"remote":[106],"access":[107],"server)-level":[108],"QoE":[109,139],"model":[110,136],"operator":[115],"locate":[116],"quickly.":[119],"By":[120],"reasonably":[121],"mining":[122],"intrinsic":[124],"correlation":[125],"among":[126],"data,":[129],"proposed":[131],"scheme":[132],"able":[134],"user":[138],"accurately":[140],"achieve":[142],"an":[143],"accuracy":[144],"97":[146],"%.":[147]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}