{"id":"https://openalex.org/W2159279931","doi":"https://doi.org/10.1145/1177080.1177083","title":"Fisher information of sampled packets","display_name":"Fisher information of sampled packets","publication_year":2006,"publication_date":"2006-10-25","ids":{"openalex":"https://openalex.org/W2159279931","doi":"https://doi.org/10.1145/1177080.1177083","mag":"2159279931"},"language":"en","primary_location":{"id":"doi:10.1145/1177080.1177083","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1177080.1177083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM SIGCOMM conference on Internet measurement","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/A5035917702","display_name":"Bruno Ribeiro","orcid":"https://orcid.org/0000-0002-3527-6192"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bruno Ribeiro","raw_affiliation_strings":["University of Massachusetts at Amherst, Amherst, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts at Amherst, Amherst, MA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036683370","display_name":"Don Towsley","orcid":"https://orcid.org/0000-0002-7808-7375"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Don Towsley","raw_affiliation_strings":["University of Massachusetts at Amherst, Amherst, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Massachusetts at Amherst, Amherst, MA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013175880","display_name":"Ye Tao","orcid":"https://orcid.org/0000-0002-5080-2533"},"institutions":[{"id":"https://openalex.org/I110995367","display_name":"Sprint (United States)","ror":"https://ror.org/04rxdpa15","country_code":"US","type":"company","lineage":["https://openalex.org/I110995367"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tao Ye","raw_affiliation_strings":["Sprint ATL, Burlingame, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sprint ATL, Burlingame, CA","institution_ids":["https://openalex.org/I110995367"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023136655","display_name":"Jean Bolot","orcid":null},"institutions":[{"id":"https://openalex.org/I110995367","display_name":"Sprint (United States)","ror":"https://ror.org/04rxdpa15","country_code":"US","type":"company","lineage":["https://openalex.org/I110995367"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean C. Bolot","raw_affiliation_strings":["Sprint ATL, Burlingame, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sprint ATL, Burlingame, CA","institution_ids":["https://openalex.org/I110995367"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9983000159263611,"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":0.9941999912261963,"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/estimator","display_name":"Estimator","score":0.7684133052825928},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.7067949771881104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6576410531997681},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6380707025527954},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5208092927932739},{"id":"https://openalex.org/keywords/fisher-information","display_name":"Fisher information","score":0.4712054133415222},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4620055556297302},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.43111705780029297},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.41028711199760437},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32034730911254883},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21989500522613525},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.19693279266357422}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7684133052825928},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.7067949771881104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6576410531997681},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6380707025527954},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5208092927932739},{"id":"https://openalex.org/C29406490","wikidata":"https://www.wikidata.org/wiki/Q1420659","display_name":"Fisher information","level":2,"score":0.4712054133415222},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4620055556297302},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43111705780029297},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.41028711199760437},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32034730911254883},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21989500522613525},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.19693279266357422},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1177080.1177083","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1177080.1177083","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM SIGCOMM conference on Internet measurement","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1566965859","https://openalex.org/W1838445804","https://openalex.org/W1965392255","https://openalex.org/W1965972569","https://openalex.org/W1981367467","https://openalex.org/W2019420194","https://openalex.org/W2031657002","https://openalex.org/W2044177275","https://openalex.org/W2054425768","https://openalex.org/W2057783366","https://openalex.org/W2098366185","https://openalex.org/W2099111195","https://openalex.org/W2124430127","https://openalex.org/W2128203095","https://openalex.org/W2152092514","https://openalex.org/W2156813924","https://openalex.org/W2171801319","https://openalex.org/W2432517183","https://openalex.org/W2981264952","https://openalex.org/W3097169496","https://openalex.org/W4239726656"],"related_works":["https://openalex.org/W3012088032","https://openalex.org/W2238904537","https://openalex.org/W4287880334","https://openalex.org/W2776312158","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W1965458961","https://openalex.org/W4385769873","https://openalex.org/W4281634296","https://openalex.org/W4319161863"],"abstract_inverted_index":{"Packet":[0],"sampling":[1,81,167],"is":[2,24,143,180],"widely":[3],"used":[4,13],"in":[5],"network":[6,19],"monitoring.":[7],"Sampled":[8],"packet":[9,80],"streams":[10],"are":[11],"often":[12],"to":[14,51,102,148],"determine":[15],"flow-level":[16,68],"statistics":[17],"of":[18,30,58,67,98,108,122,136,166],"traffic.":[20],"To":[21],"date":[22],"there":[23],"conflicting":[25],"evidence":[26,73],"on":[27,64,134,188],"the":[28,31,43,48,53,65,106,119,164],"quality":[29,66],"resulting":[32],"estimates.":[33,69],"In":[34],"this":[35,137],"paper":[36],"we":[37],"take":[38],"a":[39,127,149],"systematic":[40],"approach,":[41],"using":[42,157],"Fisher":[44],"information":[45,59,77,116,138],"metric":[46],"and":[47,78,139,162],"Cram\u00e9r-Rao":[49],"bound,":[50],"understand":[52],"contributions":[54],"that":[55,132,141,174],"different":[56],"types":[57],"within":[60],"sampled":[61,93,99],"packets":[62],"have":[63],"We":[70,125,153],"provide":[71],"concrete":[72],"that,":[74],"without":[75],"protocol":[76],"with":[79,105],"rate":[82],"p":[83],"=":[84],"0.005,":[85],"any":[86],"accurate":[87,183],"unbiased":[88],"estimator":[89],"needs":[90],"approximately":[91],"1016":[92],"flows.":[94,124],"The":[95],"required":[96],"number":[97],"flows":[100],"drops":[101],"roughly":[103],"104":[104],"use":[107],"TCP":[109],"sequence":[110],"numbers.":[111],"Furthermore,":[112],"additional":[113],"SYN":[114],"flag":[115],"significantly":[117],"reduces":[118],"estimation":[120],"error":[121],"short":[123],"present":[126],"Maximum":[128],"Likelihood":[129],"Estimator":[130],"(MLE)":[131],"relies":[133],"all":[135,189],"show":[140,173],"it":[142],"efficient,":[144],"even":[145],"when":[146],"applied":[147],"small":[150],"sample":[151],"set.":[152],"validate":[154],"our":[155],"results":[156,172],"Tier-1":[158],"Internet":[159],"backbone":[160],"traces":[161],"evaluate":[163],"benefits":[165],"from":[168,177],"multiple":[169],"monitors.":[170],"Our":[171],"combining":[175],"estimates":[176],"several":[178],"monitors":[179],"50%":[181],"less":[182],"than":[184],"an":[185],"estimate":[186],"based":[187],"samples.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}