{"id":"https://openalex.org/W2124858011","doi":"https://doi.org/10.1109/dsn.2011.5958267","title":"Modeling time correlation in passive network loss tomography","display_name":"Modeling time correlation in passive network loss tomography","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2124858011","doi":"https://doi.org/10.1109/dsn.2011.5958267","mag":"2124858011"},"language":"en","primary_location":{"id":"doi:10.1109/dsn.2011.5958267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsn.2011.5958267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE/IFIP 41st International Conference on Dependable Systems &amp; Networks (DSN)","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/A5048855340","display_name":"Jin Cao","orcid":"https://orcid.org/0000-0002-1247-4129"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin Cao","raw_affiliation_strings":["Alcatel-Lucent, Bell Laboratories, Murray Hill, NJ, USA","Bell Labs, Alcatel-Lucent, Murray Hill, New Jersey 07974, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alcatel-Lucent, Bell Laboratories, Murray Hill, NJ, USA","institution_ids":[]},{"raw_affiliation_string":"Bell Labs, Alcatel-Lucent, Murray Hill, New Jersey 07974, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085800638","display_name":"Aiyou Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aiyou Chen","raw_affiliation_strings":["Google, Inc., Mountain View, CA, USA","Google Inc., Mountain View, CA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google, Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Inc., Mountain View, CA USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012129385","display_name":"Patrick P. C. Lee","orcid":"https://orcid.org/0000-0002-4501-4364"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Patrick P. C. Lee","raw_affiliation_strings":["Department of Computer Science and Engineering, Chinese University of Hong Kong, Sha Tin, Hong Kong, China","Department of Computer Science and Engineering; The Chinese University of Hong Kong; Shatin Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chinese University of Hong Kong, Sha Tin, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]},{"raw_affiliation_string":"Department of Computer Science and Engineering; The Chinese University of Hong Kong; Shatin Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":null,"first_page":"550","last_page":"561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9904999732971191,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/inference","display_name":"Inference","score":0.841185450553894},{"id":"https://openalex.org/keywords/identifiability","display_name":"Identifiability","score":0.8243653774261475},{"id":"https://openalex.org/keywords/network-tomography","display_name":"Network tomography","score":0.6686884164810181},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6274356842041016},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5846065282821655},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.46617770195007324},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3811943829059601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3573835492134094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32809245586395264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.272599995136261}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.841185450553894},{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.8243653774261475},{"id":"https://openalex.org/C146368544","wikidata":"https://www.wikidata.org/wiki/Q3408544","display_name":"Network tomography","level":3,"score":0.6686884164810181},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6274356842041016},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5846065282821655},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.46617770195007324},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3811943829059601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3573835492134094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32809245586395264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.272599995136261},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsn.2011.5958267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsn.2011.5958267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE/IFIP 41st International Conference on Dependable Systems &amp; Networks (DSN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1588743992","https://openalex.org/W1596404044","https://openalex.org/W1680099247","https://openalex.org/W1979878707","https://openalex.org/W1994815284","https://openalex.org/W1995945562","https://openalex.org/W2000359198","https://openalex.org/W2002677656","https://openalex.org/W2012500654","https://openalex.org/W2013703909","https://openalex.org/W2028731772","https://openalex.org/W2031094253","https://openalex.org/W2098460029","https://openalex.org/W2098865491","https://openalex.org/W2110437750","https://openalex.org/W2114501453","https://openalex.org/W2123185744","https://openalex.org/W2125580718","https://openalex.org/W2126004592","https://openalex.org/W2134223946","https://openalex.org/W2144451085","https://openalex.org/W2163935672","https://openalex.org/W2797563284"],"related_works":["https://openalex.org/W2724847603","https://openalex.org/W2034041141","https://openalex.org/W2184661725","https://openalex.org/W112856298","https://openalex.org/W2573470972","https://openalex.org/W4249955856","https://openalex.org/W2481573243","https://openalex.org/W2371151485","https://openalex.org/W2349785426","https://openalex.org/W2390624985"],"abstract_inverted_index":{"We":[0,54,112],"consider":[1],"the":[2,19,34,49,114],"problem":[3],"of":[4,23,51,74,116],"inferring":[5],"link":[6,68,99],"loss":[7,45,62,69,79,100],"rates":[8,101],"using":[9],"passive":[10,27],"measurements.":[11],"Prior":[12],"inference":[13,28,47,93,118],"approaches":[14],"are":[15],"mainly":[16],"built":[17],"on":[18],"time":[20,52,75,82],"correlation":[21],"nature":[22],"packet":[24],"losses.":[25],"However,":[26],"generally":[29],"has":[30],"limited":[31],"control":[32],"over":[33],"measurement":[35],"process,":[36],"and":[37,58,88,122],"it":[38],"is":[39],"a":[40,60,72,90],"challenging":[41],"issue":[42,57],"to":[43,48],"adapt":[44],"rate":[46,70],"impact":[50],"correlation.":[53,76],"address":[55],"this":[56,78],"propose":[59,89],"new":[61],"model":[63,80,121],"that":[64,95],"expresses":[65],"an":[66],"inferred":[67],"as":[71],"function":[73],"Under":[77],"with":[81,108,120],"correlation,":[83],"we":[84],"show":[85],"its":[86],"identifiability,":[87],"novel":[91],"profile-likelihood-based":[92],"approach":[94,119],"can":[96],"accurately":[97],"infer":[98],"for":[102],"various":[103],"complex":[104],"topologies":[105],"(e.g.,":[106],"trees":[107],"many":[109],"leaf":[110],"branches).":[111],"validate":[113],"accuracy":[115],"our":[117],"network":[123],"simulations.":[124]},"counts_by_year":[{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
