{"id":"https://openalex.org/W2126384258","doi":"https://doi.org/10.1109/tit.2012.2227672","title":"The Embedding Capacity of Information Flows Under Renewal Traffic","display_name":"The Embedding Capacity of Information Flows Under Renewal Traffic","publication_year":2012,"publication_date":"2012-11-14","ids":{"openalex":"https://openalex.org/W2126384258","doi":"https://doi.org/10.1109/tit.2012.2227672","mag":"2126384258"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2012.2227672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2012.2227672","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1103.2431","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Stefano Marano","orcid":null},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Stefano Marano","raw_affiliation_strings":["Department of Information and Electrical Engineering, and Applied Mathematics, University of Salerno, Fisciano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Electrical Engineering, and Applied Mathematics, University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Vincenzo Matta","orcid":null},"institutions":[{"id":"https://openalex.org/I131729948","display_name":"University of Salerno","ror":"https://ror.org/0192m2k53","country_code":"IT","type":"education","lineage":["https://openalex.org/I131729948"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vincenzo Matta","raw_affiliation_strings":["Department of Information and Electrical Engineering, and Applied Mathematics, University of Salerno, Fisciano, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Electrical Engineering, and Applied Mathematics, University of Salerno, Fisciano, Italy","institution_ids":["https://openalex.org/I131729948"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ting He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ting He","raw_affiliation_strings":["IBM Thomas J. Watson Research Center, Yorktown, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Thomas J. Watson Research Center, Yorktown, NY, USA","institution_ids":["https://openalex.org/I4210114115"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lang Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lang Tong","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4349,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.73874789,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"59","issue":"3","first_page":"1724","last_page":"1739"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.4092999994754791,"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"}},"topics":[{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.4092999994754791,"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/T11424","display_name":"Security and Verification in Computing","score":0.12020000070333481,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.11909999698400497,"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/embedding","display_name":"Embedding","score":0.8393999934196472},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5230000019073486},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4828999936580658},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4487999975681305},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.44369998574256897},{"id":"https://openalex.org/keywords/renewal-theory","display_name":"Renewal theory","score":0.42719998955726624},{"id":"https://openalex.org/keywords/flow-network","display_name":"Flow network","score":0.3921999931335449},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.38519999384880066},{"id":"https://openalex.org/keywords/topology","display_name":"Topology (electrical circuits)","score":0.35659998655319214}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.8393999934196472},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5230000019073486},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4828999936580658},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4699000120162964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46149998903274536},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4487999975681305},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.44369998574256897},{"id":"https://openalex.org/C110507122","wikidata":"https://www.wikidata.org/wiki/Q1356856","display_name":"Renewal theory","level":2,"score":0.42719998955726624},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39629998803138733},{"id":"https://openalex.org/C114809511","wikidata":"https://www.wikidata.org/wiki/Q1412924","display_name":"Flow network","level":2,"score":0.3921999931335449},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.38519999384880066},{"id":"https://openalex.org/C184720557","wikidata":"https://www.wikidata.org/wiki/Q7825049","display_name":"Topology (electrical circuits)","level":2,"score":0.35659998655319214},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3537999987602234},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.350600004196167},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.32359999418258667},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.3061999976634979},{"id":"https://openalex.org/C97744766","wikidata":"https://www.wikidata.org/wiki/Q870845","display_name":"Channel capacity","level":3,"score":0.3043000102043152},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C1893757","wikidata":"https://www.wikidata.org/wiki/Q3653001","display_name":"Inversion (geology)","level":3,"score":0.2854999899864197},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C35435516","wikidata":"https://www.wikidata.org/wiki/Q5370016","display_name":"Embedding problem","level":3,"score":0.2696000039577484},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2590999901294708},{"id":"https://openalex.org/C102408133","wikidata":"https://www.wikidata.org/wiki/Q5156350","display_name":"Competitive analysis","level":3,"score":0.25099998712539673}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tit.2012.2227672","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2012.2227672","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1103.2431","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1103.2431","pdf_url":"https://arxiv.org/pdf/1103.2431","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1103.2431","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1103.2431","pdf_url":"https://arxiv.org/pdf/1103.2431","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W80342037","https://openalex.org/W1602499992","https://openalex.org/W1986469515","https://openalex.org/W1995713768","https://openalex.org/W2004563192","https://openalex.org/W2036678796","https://openalex.org/W2043769961","https://openalex.org/W2053775441","https://openalex.org/W2061625717","https://openalex.org/W2062899906","https://openalex.org/W2077305609","https://openalex.org/W2093590637","https://openalex.org/W2103647628","https://openalex.org/W2106012069","https://openalex.org/W2109394932","https://openalex.org/W2113183909","https://openalex.org/W2121323396","https://openalex.org/W2121824862","https://openalex.org/W2123269507","https://openalex.org/W2128945468","https://openalex.org/W2133372405","https://openalex.org/W2136239168","https://openalex.org/W2144007657","https://openalex.org/W2145518237","https://openalex.org/W2145668821","https://openalex.org/W2147348113","https://openalex.org/W2148275477","https://openalex.org/W2149463733","https://openalex.org/W2155424867","https://openalex.org/W2159687282","https://openalex.org/W2169751441","https://openalex.org/W2548252739","https://openalex.org/W4232179068","https://openalex.org/W4233879328","https://openalex.org/W4245777296","https://openalex.org/W4298545761","https://openalex.org/W4300532298","https://openalex.org/W6634716311","https://openalex.org/W6678955139","https://openalex.org/W6735652660"],"related_works":[],"abstract_inverted_index":{"Given":[0],"two":[1],"independent":[2],"point":[3],"processes":[4],"and":[5,43,72,157,189,198],"a":[6,32,39,50,108,115,125,158,177],"certain":[7],"rule":[8,35],"for":[9,114,153,180,195],"matching":[10,34],"points":[11,20],"between":[12,186],"them,":[13],"what":[14],"is":[15,36,46,204],"the":[16,44,67,73,80,83,86,101,105,132,136,144,147,164,187,190,209,216],"fraction":[17],"of":[18,38,52,107,118,131,135,146,160,208,215],"matched":[19],"over":[21],"infinitely":[22],"long":[23],"streams?":[24],"In":[25],"many":[26],"application":[27],"contexts,":[28],"e.g.,":[29],"secure":[30],"networking,":[31],"meaningful":[33],"that":[37,58,85,99,202],"maximum":[40,75],"causal":[41],"delay,":[42],"problem":[45],"related":[47],"to":[48,142],"embedding":[49,70,81,102,148,192],"flow":[51,76],"packets":[53],"in":[54,122,129],"cover":[55,87],"traffic":[56,88,211],"such":[57],"no":[59],"timing":[60],"analysis":[61],"can":[62,89],"detect":[63],"it.":[64],"We":[65,97,167],"study":[66],"best":[68],"undetectable":[69],"policy":[71],"corresponding":[74],"rate-that":[77],"we":[78],"call":[79],"capacity-under":[82],"assumption":[84],"be":[90],"modeled":[91],"as":[92],"an":[93],"arbitrary":[94],"renewal":[95,119,133,210],"process.":[96],"find":[98],"computing":[100],"capacity":[103,165],"requires":[104],"inversion":[106],"very":[109],"structured":[110],"linear":[111],"system":[112],"that,":[113],"broad":[116],"range":[117],"models":[120],"encountered":[121],"practice,":[123],"admits":[124],"fully":[126],"analytical":[127],"expression":[128],"terms":[130],"function":[134],"processes.":[137],"This":[138],"result":[139],"enables":[140],"us":[141],"explore":[143],"properties":[145],"capacity,":[149],"obtaining":[150],"closed-form":[151],"solutions":[152],"selected":[154],"distribution":[155],"families":[156],"suite":[159],"sufficient":[161],"conditions":[162],"on":[163,171],"ordering.":[166],"test":[168],"our":[169],"solution":[170,217],"real":[172],"network":[173],"traces,":[174],"which":[175],"shows":[176],"remarkable":[178],"match":[179],"tight":[181],"delay":[182],"constraints.":[183],"A":[184],"gap":[185],"predicted":[188],"actual":[191],"capacities":[193],"appears":[194],"looser":[196],"constraints,":[197],"further":[199],"investigation":[200],"reveals":[201],"it":[203],"caused":[205],"by":[206],"inaccuracy":[207],"model":[212],"rather":[213],"than":[214],"itself.":[218]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
