{"id":"https://openalex.org/W1998071119","doi":"https://doi.org/10.1145/1375457.1375471","title":"Confident estimation for multistage measurement sampling and aggregation","display_name":"Confident estimation for multistage measurement sampling and aggregation","publication_year":2008,"publication_date":"2008-06-02","ids":{"openalex":"https://openalex.org/W1998071119","doi":"https://doi.org/10.1145/1375457.1375471","mag":"1998071119"},"language":"en","primary_location":{"id":"doi:10.1145/1375457.1375471","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1375457.1375471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems","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/A5026385549","display_name":"Edith Cohen","orcid":"https://orcid.org/0000-0002-3926-8237"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Edith Cohen","raw_affiliation_strings":["AT&T Labs-Research, Florham Park, NJ, USA","AT&T Labs---Research, Florham Park, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"AT&T Labs-Research, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Labs---Research, Florham Park, NJ, USA#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048558842","display_name":"Nick Duffield","orcid":"https://orcid.org/0000-0001-7211-1584"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nick Duffield","raw_affiliation_strings":["AT&T Labs-Research, Florham Park, NJ, USA","AT&T Labs---Research, Florham Park, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"AT&T Labs-Research, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Labs---Research, Florham Park, NJ, USA#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022565251","display_name":"Carsten Lund","orcid":null},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carsten Lund","raw_affiliation_strings":["AT&T Labs-Research, Florham Park, NJ, USA","AT&T Labs---Research, Florham Park, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"AT&T Labs-Research, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Labs---Research, Florham Park, NJ, USA#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039232562","display_name":"Mikkel Thorup","orcid":"https://orcid.org/0000-0001-5237-1709"},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mikkel Thorup","raw_affiliation_strings":["AT&T Labs-Research, Florham Park, NJ, USA","AT&T Labs---Research, Florham Park, NJ, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"AT&T Labs-Research, Florham Park, NJ, USA","institution_ids":["https://openalex.org/I1283103587"]},{"raw_affiliation_string":"AT&T Labs---Research, Florham Park, NJ, USA#TAB#","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5026385549"],"corresponding_institution_ids":["https://openalex.org/I1283103587"],"apc_list":null,"apc_paid":null,"fwci":1.1435,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.80650963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"109","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9980999827384949,"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":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.7401765584945679},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6978144645690918},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6320468187332153},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6164975762367249},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5883991122245789},{"id":"https://openalex.org/keywords/sampling-design","display_name":"Sampling design","score":0.5238744616508484},{"id":"https://openalex.org/keywords/byte","display_name":"Byte","score":0.5220394134521484},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47180500626564026},{"id":"https://openalex.org/keywords/bias-of-an-estimator","display_name":"Bias of an estimator","score":0.41925641894340515},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"Importance sampling","score":0.4170778691768646},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41274094581604004},{"id":"https://openalex.org/keywords/minimum-variance-unbiased-estimator","display_name":"Minimum-variance unbiased estimator","score":0.2661108076572418},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15616166591644287},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.13810119032859802},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11054566502571106}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7401765584945679},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6978144645690918},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6320468187332153},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6164975762367249},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5883991122245789},{"id":"https://openalex.org/C75373757","wikidata":"https://www.wikidata.org/wiki/Q7410160","display_name":"Sampling design","level":3,"score":0.5238744616508484},{"id":"https://openalex.org/C43364308","wikidata":"https://www.wikidata.org/wiki/Q8799","display_name":"Byte","level":2,"score":0.5220394134521484},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47180500626564026},{"id":"https://openalex.org/C191393472","wikidata":"https://www.wikidata.org/wiki/Q15222032","display_name":"Bias of an estimator","level":4,"score":0.41925641894340515},{"id":"https://openalex.org/C52740198","wikidata":"https://www.wikidata.org/wiki/Q1539564","display_name":"Importance sampling","level":3,"score":0.4170778691768646},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41274094581604004},{"id":"https://openalex.org/C165646398","wikidata":"https://www.wikidata.org/wiki/Q3755281","display_name":"Minimum-variance unbiased estimator","level":3,"score":0.2661108076572418},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15616166591644287},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.13810119032859802},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11054566502571106},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1375457.1375471","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1375457.1375471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.387.3295","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.387.3295","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www2.research.att.com/~duffield/papers/bounds.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.640.6502","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.640.6502","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cohenwang.com/edith/Papers/bounds_sigmetrics2008.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W147967448","https://openalex.org/W1519331563","https://openalex.org/W1572781745","https://openalex.org/W1972076792","https://openalex.org/W1973515534","https://openalex.org/W1977141583","https://openalex.org/W1993482412","https://openalex.org/W1998026880","https://openalex.org/W2001629484","https://openalex.org/W2001947543","https://openalex.org/W2010729689","https://openalex.org/W2020434732","https://openalex.org/W2027689065","https://openalex.org/W2036304306","https://openalex.org/W2049127440","https://openalex.org/W2054425768","https://openalex.org/W2057783366","https://openalex.org/W2074910460","https://openalex.org/W2078389142","https://openalex.org/W2108673751","https://openalex.org/W2111707959","https://openalex.org/W2117747231","https://openalex.org/W2124430127","https://openalex.org/W2147653552","https://openalex.org/W2149636275","https://openalex.org/W2159262496","https://openalex.org/W2168169496","https://openalex.org/W2169636627","https://openalex.org/W4206137901","https://openalex.org/W4233471163","https://openalex.org/W4252324684","https://openalex.org/W4256277762"],"related_works":["https://openalex.org/W3042604642","https://openalex.org/W121858127","https://openalex.org/W2775143306","https://openalex.org/W4289329995","https://openalex.org/W2373574911","https://openalex.org/W2046727832","https://openalex.org/W4247895841","https://openalex.org/W2097742961","https://openalex.org/W2321480585","https://openalex.org/W2400121968"],"abstract_inverted_index":{"Measurement,":[0],"collection,":[1],"and":[2,14,29,42,50],"interpretation":[3],"of":[4,12,31,47,97],"network":[5,36],"usage":[6,32,52],"data":[7,37],"commonly":[8],"involves":[9],"multiple":[10],"stage":[11],"sampling":[13,18,28,58,103],"aggregation.":[15],"Examples":[16],"include":[17],"packets,":[19],"aggregating":[20],"them":[21],"into":[22],"flow":[23],"statistics":[24],"at":[25],"a":[26,35,114],"router,":[27],"aggregation":[30],"records":[33],"in":[34,74],"repository":[38],"for":[39,56,60,86,100],"reporting,":[40],"query":[41],"archiving.":[43],"Although":[44],"unbiased":[45],"estimates":[46],"packet,":[48],"bytes":[49],"flows":[51],"can":[53],"be":[54,110],"formed":[55],"each":[57],"operation,":[59],"many":[61],"applications":[62],"it":[63],"is":[64,96],"crucial":[65],"to":[66,81],"know":[67],"the":[68,83,94,106],"inherent":[69],"estimation":[70],"error.":[71],"Previous":[72],"work":[73],"this":[75],"area":[76],"has":[77],"been":[78],"limited":[79,98],"mainly":[80],"analyzing":[82],"estimator":[84],"variance":[85,95],"particular":[87],"methods,":[88,104],"e.g.,":[89],"independent":[90],"packet":[91],"sampling.":[92],"However,":[93],"use":[99],"more":[101],"general":[102],"where":[105],"estimate":[107],"may":[108],"not":[109],"well":[111],"approximated":[112],"by":[113],"Gaussian":[115],"distribution.":[116]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}