{"id":"https://openalex.org/W3035035522","doi":"https://doi.org/10.1109/noms47738.2020.9110463","title":"AccuPIPE: Accurate Heavy Flow Detection in the Data Plane Using Programmable Switches","display_name":"AccuPIPE: Accurate Heavy Flow Detection in the Data Plane Using Programmable Switches","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3035035522","doi":"https://doi.org/10.1109/noms47738.2020.9110463","mag":"3035035522"},"language":"en","primary_location":{"id":"doi:10.1109/noms47738.2020.9110463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms47738.2020.9110463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium","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/A5101550435","display_name":"Yang Guo","orcid":"https://orcid.org/0009-0004-9822-5853"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang Guo","raw_affiliation_strings":["NIST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NIST","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100896925","display_name":"Franklin Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I308392441","display_name":"International University of the Caribbean","ror":"https://ror.org/02rv57d03","country_code":"JM","type":"education","lineage":["https://openalex.org/I308392441"]}],"countries":["JM"],"is_corresponding":false,"raw_author_name":"Franklin Liu","raw_affiliation_strings":["UIUC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UIUC","institution_ids":["https://openalex.org/I308392441"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100419959","display_name":"An Wang","orcid":"https://orcid.org/0000-0002-1701-9176"},"institutions":[{"id":"https://openalex.org/I58956616","display_name":"Case Western Reserve University","ror":"https://ror.org/051fd9666","country_code":"US","type":"education","lineage":["https://openalex.org/I58956616"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"An Wang","raw_affiliation_strings":["Case Western Reserve University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Case Western Reserve University","institution_ids":["https://openalex.org/I58956616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338932","display_name":"Hang Liu","orcid":"https://orcid.org/0000-0002-1379-6314"},"institutions":[{"id":"https://openalex.org/I84470341","display_name":"Catholic University of America","ror":"https://ror.org/047yk3s18","country_code":"US","type":"education","lineage":["https://openalex.org/I84470341"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hang Liu","raw_affiliation_strings":["The Catholic University of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Catholic University of America","institution_ids":["https://openalex.org/I84470341"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0827551,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9991000294685364,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9991000294685364,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9990000128746033,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.6469898819923401},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5457907319068909},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.4115244448184967},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14385437965393066},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08092451095581055},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.07755294442176819}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6469898819923401},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5457907319068909},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.4115244448184967},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14385437965393066},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08092451095581055},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.07755294442176819},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/noms47738.2020.9110463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms47738.2020.9110463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium","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":20,"referenced_works":["https://openalex.org/W139562302","https://openalex.org/W1553409264","https://openalex.org/W1977141583","https://openalex.org/W1978690967","https://openalex.org/W1994926493","https://openalex.org/W2012549717","https://openalex.org/W2018989507","https://openalex.org/W2069980026","https://openalex.org/W2080234606","https://openalex.org/W2126830184","https://openalex.org/W2134519279","https://openalex.org/W2150517569","https://openalex.org/W2305788608","https://openalex.org/W2487095677","https://openalex.org/W2487583538","https://openalex.org/W2605823630","https://openalex.org/W2834288129","https://openalex.org/W4253731216","https://openalex.org/W6633322224","https://openalex.org/W6698379459"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4252886905","https://openalex.org/W2884999119"],"abstract_inverted_index":{"Identifying":[0],"heavy":[1,24,107,144],"flows,":[2],"i.e.,":[3],"flows":[4,44,108,145],"with":[5,76,127],"large":[6,40],"packet":[7],"counts":[8],"during":[9],"a":[10,39,72,114,133],"pre-defined":[11],"time":[12],"window,":[13],"is":[14,30,90],"vital":[15],"for":[16],"many":[17],"network":[18],"applications.":[19],"The":[20,82],"task":[21],"of":[22,42,46,110,117,147,160],"real-time":[23],"flow":[25,78,96,120,162],"detection":[26,66,74,100],"in":[27,98,150],"data":[28],"plane":[29],"challenging":[31],"due":[32],"to":[33,92,124],"high":[34],"switching":[35],"speed":[36],"(100":[37],"Gbps),":[38],"number":[41],"concurrent":[43,47],"(millions":[45],"flows),":[48],"and":[49,69,102,166,170],"small":[50,115],"memory":[51,118],"footprint":[52],"requirement.":[53],"In":[54,154],"this":[55],"paper,":[56],"we":[57,156],"dissect":[58],"the":[59,64,87,99,151,158],"key":[60],"factors":[61],"that":[62,86],"affect":[63],"existing":[65],"scheme\u2019s":[67],"accuracy,":[68],"propose":[70],"AccuPipe,":[71],"new":[73,88],"scheme":[75,89],"intelligent":[77],"entry":[79,163],"replacement":[80,164],"strategies.":[81],"simulation":[83],"results":[84],"show":[85],"able":[91],"efficiently":[93],"utilize":[94],"all":[95],"entries":[97],"pipeline,":[101],"detects":[103,140],"more":[104],"than":[105],"850":[106],"(out":[109,146],"top":[111,148],"1,000)":[112,149],"using":[113],"amount":[116],"(1,000":[119],"entries,":[121],"roughly":[122],"equivalently":[123],"18KB":[125],"memory)":[126],"reasonable":[128],"reporting":[129],"overhead.":[130],"This":[131],"represents":[132],"76%":[134],"improvement":[135],"over":[136],"HashPIPE":[137],"scheme,":[138],"which":[139],"on":[141],"average":[142],"484":[143],"same":[152],"setting.":[153],"addition,":[155],"investigate":[157],"performance":[159],"different":[161],"strategies,":[165],"report":[167],"their":[168],"pros":[169],"cons.":[171]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
