{"id":"https://openalex.org/W2079077278","doi":"https://doi.org/10.1109/noms.2014.6838324","title":"Link loss inference with link independence and nonlinear programming","display_name":"Link loss inference with link independence and nonlinear programming","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2079077278","doi":"https://doi.org/10.1109/noms.2014.6838324","mag":"2079077278"},"language":"en","primary_location":{"id":"doi:10.1109/noms.2014.6838324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms.2014.6838324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Network Operations and Management Symposium (NOMS)","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/A5002846562","display_name":"Xiangyu Cao","orcid":"https://orcid.org/0000-0003-3033-0900"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyu Cao","raw_affiliation_strings":["Switching Technology, Beijing University of Posts and Telecommunication, Beijing, China","State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunication, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Switching Technology, Beijing University of Posts and Telecommunication, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunication, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347221","display_name":"Ying Wang","orcid":"https://orcid.org/0000-0003-2524-9796"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Wang","raw_affiliation_strings":["Switching Technology, Beijing University of Posts and Telecommunication, Beijing, China","State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunication, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Switching Technology, Beijing University of Posts and Telecommunication, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunication, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042944721","display_name":"Xuesong Qiu","orcid":"https://orcid.org/0000-0002-7899-539X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Qiu","raw_affiliation_strings":["Switching Technology, Beijing University of Posts and Telecommunication, Beijing, China","State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunication, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Switching Technology, Beijing University of Posts and Telecommunication, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunication, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100746917","display_name":"Luoming Meng","orcid":"https://orcid.org/0000-0002-1896-3230"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luoming Meng","raw_affiliation_strings":["Switching Technology, Beijing University of Posts and Telecommunication, Beijing, China","State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunication, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Switching Technology, Beijing University of Posts and Telecommunication, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunication, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9994000196456909,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9955999851226807,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9952999949455261,"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/network-tomography","display_name":"Network tomography","score":0.9502534866333008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.70304936170578},{"id":"https://openalex.org/keywords/link","display_name":"Link (geometry)","score":0.6873261332511902},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6747235059738159},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.49869728088378906},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4843229353427887},{"id":"https://openalex.org/keywords/nonlinear-programming","display_name":"Nonlinear programming","score":0.446146160364151},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4429278075695038},{"id":"https://openalex.org/keywords/link-level","display_name":"Link level","score":0.43630117177963257},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4229240119457245},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40853992104530334},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3797712028026581},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29990431666374207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1703205704689026},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.12983188033103943}],"concepts":[{"id":"https://openalex.org/C146368544","wikidata":"https://www.wikidata.org/wiki/Q3408544","display_name":"Network tomography","level":3,"score":0.9502534866333008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.70304936170578},{"id":"https://openalex.org/C2778753846","wikidata":"https://www.wikidata.org/wiki/Q6554239","display_name":"Link (geometry)","level":2,"score":0.6873261332511902},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6747235059738159},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.49869728088378906},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4843229353427887},{"id":"https://openalex.org/C115527620","wikidata":"https://www.wikidata.org/wiki/Q769909","display_name":"Nonlinear programming","level":3,"score":0.446146160364151},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4429278075695038},{"id":"https://openalex.org/C2779609627","wikidata":"https://www.wikidata.org/wiki/Q6554308","display_name":"Link level","level":2,"score":0.43630117177963257},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4229240119457245},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40853992104530334},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3797712028026581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29990431666374207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1703205704689026},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.12983188033103943},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/noms.2014.6838324","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms.2014.6838324","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Network Operations and Management Symposium (NOMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1596404044","https://openalex.org/W1966829791","https://openalex.org/W1994815284","https://openalex.org/W2031094253","https://openalex.org/W2033063733","https://openalex.org/W2053818722","https://openalex.org/W2078841894","https://openalex.org/W2100333309","https://openalex.org/W2118983471","https://openalex.org/W2123185744","https://openalex.org/W2134223946","https://openalex.org/W2146934567","https://openalex.org/W2149647489","https://openalex.org/W2163935672","https://openalex.org/W2167390870","https://openalex.org/W2170378215","https://openalex.org/W4235629345","https://openalex.org/W4244598612","https://openalex.org/W4390077785","https://openalex.org/W6635692511","https://openalex.org/W6678047197"],"related_works":["https://openalex.org/W2936228184","https://openalex.org/W1550959577","https://openalex.org/W2744785613","https://openalex.org/W59064024","https://openalex.org/W2463650873","https://openalex.org/W2052961964","https://openalex.org/W2808994160","https://openalex.org/W1965617705","https://openalex.org/W3150377341","https://openalex.org/W2183172389"],"abstract_inverted_index":{"We":[0],"address":[1,63],"the":[2,6,45,53,60,64,100,108,112,120,134,152,163,167,181],"problem":[3],"of":[4,34,102,111,137],"inferring":[5],"network":[7,20,68,121],"link":[8,81,138],"loss":[9,82,139],"rates":[10],"using":[11],"end-to-end":[12],"measurements,":[13],"which":[14],"can":[15,186],"also":[16,175,187],"be":[17],"formulated":[18],"as":[19],"tomography.":[21],"As":[22],"we":[23,91,98,115,142],"have":[24],"known":[25],"that":[26,47,66,157],"most":[27,67],"tomography":[28,69],"problems":[29],"are":[30],"rank-deficit.":[31],"One":[32],"kind":[33],"method":[35,55,145,159,185],"uses":[36],"multiple":[37],"probe":[38,164],"measurements":[39],"to":[40,106,132,170],"acquire":[41,107],"more":[42,191],"information":[43,101],"about":[44],"system":[46],"may":[48],"generate":[49],"much":[50],"additional":[51],"overhead;":[52],"other":[54],"imposes":[56],"unrealistic":[57],"assumption":[58],"on":[59,180],"system.":[61,113],"To":[62],"issue":[65],"methods":[70,150],"cannot":[71],"take":[72],"into":[73,122],"account":[74],"both":[75],"accuracy":[76],"and":[77,96,146,166,193],"efficiency,":[78],"a":[79,171,177],"novel":[80],"rate":[83],"inference":[84],"algorithm":[85],"is":[86,130],"proposed.":[87],"In":[88],"this":[89],"paper,":[90],"get":[92,133],"all":[93,117],"identifiable":[94],"links":[95,105,118],"then":[97],"utilize":[99],"these":[103],"determined":[104],"global":[109],"distribution":[110],"Moreover":[114],"partition":[116],"in":[119,190],"several":[123],"subsets.":[124],"For":[125],"each":[126],"group,":[127],"nonlinear":[128],"programming":[129],"used":[131],"optimization":[135],"solution":[136],"rate.":[140],"Finally,":[141],"evaluate":[143],"our":[144,158,184],"two":[147],"former":[148],"representative":[149],"by":[151],"simulation.":[153],"The":[154],"results":[155],"demonstrate":[156],"not":[160],"only":[161],"reduces":[162],"costs":[165],"running":[168],"time":[169],"low":[172],"level,":[173],"but":[174],"makes":[176],"great":[178],"improvement":[179],"accuracy.":[182],"Furthermore,":[183],"perform":[188],"well":[189],"congested":[192],"large":[194],"networks.":[195]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
