{"id":"https://openalex.org/W2122188750","doi":"https://doi.org/10.1109/infcom.2009.5062217","title":"An Efficient Algorithm for Measuring Medium- to Large-Sized Flows in Network Traffic","display_name":"An Efficient Algorithm for Measuring Medium- to Large-Sized Flows in Network Traffic","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2122188750","doi":"https://doi.org/10.1109/infcom.2009.5062217","mag":"2122188750"},"language":"en","primary_location":{"id":"doi:10.1109/infcom.2009.5062217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2009.5062217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2009","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/A5085185917","display_name":"Ashwin Lall","orcid":"https://orcid.org/0009-0003-2046-0055"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Lall","raw_affiliation_strings":["Georgia Inst, Atlanta, GA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Inst, Atlanta, GA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019383096","display_name":"Mitsunori Ogihara","orcid":"https://orcid.org/0000-0002-5690-7854"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Ogihara","raw_affiliation_strings":["University of Miami, USA","University of Miami, Coral Gables, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Miami, USA","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"University of Miami, Coral Gables, United States","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025728584","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0002-0046-8119"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Xu","raw_affiliation_strings":["Georgia Institute of Technology, USA","[Georgia Institute of Technology.]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"[Georgia Institute of Technology.]","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7258,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.74918229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"2711","last_page":"2715"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/static-random-access-memory","display_name":"Static random-access memory","score":0.8564363718032837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7768924832344055},{"id":"https://openalex.org/keywords/dram","display_name":"Dram","score":0.7047324180603027},{"id":"https://openalex.org/keywords/universal-memory","display_name":"Universal memory","score":0.4935044050216675},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.47812286019325256},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4701079726219177},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.44657155871391296},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4328264594078064},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4184759557247162},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3918217420578003},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3369637727737427},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.29457634687423706},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.2336602509021759},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18830066919326782},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16648104786872864}],"concepts":[{"id":"https://openalex.org/C68043766","wikidata":"https://www.wikidata.org/wiki/Q267416","display_name":"Static random-access memory","level":2,"score":0.8564363718032837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7768924832344055},{"id":"https://openalex.org/C7366592","wikidata":"https://www.wikidata.org/wiki/Q1255620","display_name":"Dram","level":2,"score":0.7047324180603027},{"id":"https://openalex.org/C195053848","wikidata":"https://www.wikidata.org/wiki/Q7894141","display_name":"Universal memory","level":5,"score":0.4935044050216675},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.47812286019325256},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4701079726219177},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.44657155871391296},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4328264594078064},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4184759557247162},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3918217420578003},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3369637727737427},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.29457634687423706},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.2336602509021759},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18830066919326782},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16648104786872864},{"id":"https://openalex.org/C63511323","wikidata":"https://www.wikidata.org/wiki/Q908936","display_name":"Interleaved memory","level":4,"score":0.0},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infcom.2009.5062217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infcom.2009.5062217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2009","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":25,"referenced_works":["https://openalex.org/W1493892051","https://openalex.org/W1973515534","https://openalex.org/W1977141583","https://openalex.org/W2010729689","https://openalex.org/W2023797161","https://openalex.org/W2039100193","https://openalex.org/W2056611559","https://openalex.org/W2074529643","https://openalex.org/W2074910460","https://openalex.org/W2077439570","https://openalex.org/W2080234606","https://openalex.org/W2103049975","https://openalex.org/W2108909367","https://openalex.org/W2111707959","https://openalex.org/W2113139394","https://openalex.org/W2134562942","https://openalex.org/W2148886022","https://openalex.org/W2169636627","https://openalex.org/W3162728205","https://openalex.org/W4206137901","https://openalex.org/W4206550928","https://openalex.org/W4240091567","https://openalex.org/W4243477182","https://openalex.org/W4249843299","https://openalex.org/W6629496199"],"related_works":["https://openalex.org/W2516517078","https://openalex.org/W1974599144","https://openalex.org/W2161286015","https://openalex.org/W2150909864","https://openalex.org/W4382618825","https://openalex.org/W4386903460","https://openalex.org/W4384572207","https://openalex.org/W2900372418","https://openalex.org/W2924367614","https://openalex.org/W4211178602"],"abstract_inverted_index":{"It":[0],"has":[1],"been":[2],"well":[3],"recognized":[4],"that":[5,35,161,181],"identifying":[6,69,85],"very":[7],"large":[8,128],"flows":[9,51,61,71,104,122,129],"(i.e.,":[10],"elephants)":[11],"in":[12,116,134],"a":[13,20,94,111,131,156,178],"network":[14,23],"traffic":[15,27],"stream":[16],"is":[17,139],"important":[18],"for":[19,68,84,98],"variety":[21],"of":[22,37,58,147,168,207,215],"applications":[24,39],"ranging":[25],"from":[26,189],"engineering":[28],"to":[29,44,118,130,140,143,152,185],"anomaly":[30],"detection.":[31],"However,":[32],"we":[33,92],"found":[34],"many":[36],"these":[38,212],"have":[40],"an":[41,166],"increasing":[42],"need":[43],"monitor":[45],"not":[46,77],"only":[47],"the":[48,59,86,145,190,205,208],"few":[49],"largest":[50],"(say":[52,62],"top":[53,63],"20),":[54],"but":[55],"also":[56],"all":[57,100],"medium-sized":[60,87,103],"20,000).":[64],"Unfortunately,":[65],"existing":[66],"techniques":[67],"elephant":[70,101],"at":[72,192],"high":[73],"link":[74],"speeds":[75],"are":[76],"suitable":[78],"and":[79,102,123,127,149,210],"cannot":[80],"be":[81],"trivially":[82],"extended":[83],"flows.":[88],"In":[89],"this":[90],"work,":[91],"propose":[93],"hybrid":[95,158],"SRAM/DRAM":[96,157],"algorithm":[97,184],"monitoring":[99],"with":[105],"strong":[106],"accuracy":[107,206],"guarantees.":[108],"We":[109,176,200],"employ":[110],"synopsis":[112],"data":[113,159],"structure":[114,160],"(sketch)":[115],"SRAM":[117,148,171,193],"filter":[119],"out":[120],"small":[121],"preferentially":[124],"sample":[125],"medium":[126],"flow":[132],"table":[133],"DRAM.":[135],"Our":[136],"key":[137],"contribution":[138],"show":[141],"how":[142],"maximize":[144],"use":[146],"DRAM":[150],"available":[151],"us":[153],"by":[154,213],"using":[155,218],"can":[162],"achieve":[163],"more":[164],"than":[165,173],"order":[167],"magnitude":[169],"higher":[170],"efficiency":[172],"previous":[174],"methods.":[175],"design":[177],"quantization":[179],"scheme":[180],"allows":[182],"our":[183],"\"read":[186],"just":[187],"enough\"":[188],"sketch":[191],"speed,":[194],"without":[195],"sacrificing":[196],"much":[197],"estimation":[198,209],"accuracy.":[199],"provide":[201],"analytical":[202],"guarantees":[203],"on":[204],"validate":[211],"means":[214],"trace-driven":[216],"evaluation":[217],"real-":[219],"world":[220],"packet":[221],"traces..":[222]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"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":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}