{"id":"https://openalex.org/W2983461405","doi":"https://doi.org/10.23919/fmcad.2019.8894253","title":"BDD-Based Algorithms for Packet Classification","display_name":"BDD-Based Algorithms for Packet Classification","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2983461405","doi":"https://doi.org/10.23919/fmcad.2019.8894253","mag":"2983461405"},"language":"en","primary_location":{"id":"doi:10.23919/fmcad.2019.8894253","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fmcad.2019.8894253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Formal Methods in Computer Aided Design (FMCAD)","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/A5034897040","display_name":"Nina Narodytska","orcid":"https://orcid.org/0000-0002-5181-4560"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nina Narodytska","raw_affiliation_strings":["VMware Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VMware Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001598240","display_name":"Leonid Ryzhyk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Leonid Ryzhyk","raw_affiliation_strings":["VMware Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VMware Research","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030915482","display_name":"Igor Ganichev","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Igor Ganichev","raw_affiliation_strings":["Google"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005094100","display_name":"Soner Sevinc","orcid":null},"institutions":[{"id":"https://openalex.org/I2252078561","display_name":"Meta (Israel)","ror":"https://ror.org/02388em19","country_code":"IL","type":"company","lineage":["https://openalex.org/I2252078561","https://openalex.org/I4210114444"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Soner Sevinc","raw_affiliation_strings":["Facebook"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook","institution_ids":["https://openalex.org/I2252078561"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"64","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12326","display_name":"Network Packet Processing and Optimization","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9894000291824341,"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/T11549","display_name":"Synthetic Organic Chemistry Methods","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/1605","display_name":"Organic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8454604744911194},{"id":"https://openalex.org/keywords/header","display_name":"Header","score":0.6340841054916382},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5518940091133118},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5092095732688904},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48929545283317566},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.4279690980911255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3675384819507599},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33261793851852417}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8454604744911194},{"id":"https://openalex.org/C48105269","wikidata":"https://www.wikidata.org/wiki/Q1141160","display_name":"Header","level":2,"score":0.6340841054916382},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5518940091133118},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5092095732688904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48929545283317566},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.4279690980911255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3675384819507599},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33261793851852417},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/fmcad.2019.8894253","is_oa":false,"landing_page_url":"https://doi.org/10.23919/fmcad.2019.8894253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Formal Methods in Computer Aided Design (FMCAD)","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":29,"referenced_works":["https://openalex.org/W1579988386","https://openalex.org/W2022106793","https://openalex.org/W2063773589","https://openalex.org/W2067738619","https://openalex.org/W2080267935","https://openalex.org/W2082448265","https://openalex.org/W2084344388","https://openalex.org/W2098937115","https://openalex.org/W2102117848","https://openalex.org/W2109687464","https://openalex.org/W2118615994","https://openalex.org/W2126655973","https://openalex.org/W2130388632","https://openalex.org/W2134519279","https://openalex.org/W2139221507","https://openalex.org/W2139751271","https://openalex.org/W2140727935","https://openalex.org/W2149479807","https://openalex.org/W2150702922","https://openalex.org/W2158805267","https://openalex.org/W2296227987","https://openalex.org/W2770053080","https://openalex.org/W2791241700","https://openalex.org/W3098828539","https://openalex.org/W3142489993","https://openalex.org/W4232114622","https://openalex.org/W4250447890","https://openalex.org/W4378744510","https://openalex.org/W6634677569"],"related_works":["https://openalex.org/W2171597999","https://openalex.org/W2189136227","https://openalex.org/W1866537546","https://openalex.org/W630850086","https://openalex.org/W3200508093","https://openalex.org/W4372053344","https://openalex.org/W2988433590","https://openalex.org/W2891706772","https://openalex.org/W2144804944","https://openalex.org/W2148338580"],"abstract_inverted_index":{"Packet":[0],"classifiers":[1,138,146,152],"are":[2,139],"the":[3,12,38,54,83,93,111,123,165,187],"building":[4],"blocks":[5],"of":[6,26,87,92,110,116,126,150,155,180,189],"modern":[7,61],"networking.":[8],"A":[9],"classifier":[10,163],"determines":[11],"action":[13],"to":[14,36,51,173,183],"take":[15],"on":[16,73],"a":[17,24,89,98,148],"packet":[18,130,156],"by":[19,32],"matching":[20],"its":[21],"header":[22,157],"against":[23],"set":[25,69],"rules.":[27],"Efficient":[28],"classification":[29],"is":[30,171],"achieved":[31],"using":[33,164],"associative":[34,56],"memory":[35,57,188],"perform":[37],"match":[39],"operation":[40],"in":[41,53,60,114,129,186],"one":[42],"clock":[43],"cycle.":[44],"This":[45],"requires":[46],"compressing":[47],"large":[48,136],"rule":[49,68,94,176],"sets":[50,177],"fit":[52,185],"small":[55],"space":[58],"available":[59],"network":[62,190],"switches.":[63,191],"We":[64,96,143,159],"propose":[65],"two":[66],"symbolic":[67,127],"compression":[70,117],"algorithms":[71,113],"based":[72],"binary":[74],"decision":[75],"diagrams.":[76],"Following":[77],"McGeer":[78],"and":[79],"Yalagandula,":[80],"we":[81],"formalize":[82],"problem":[84],"as":[85],"that":[86,121],"obtaining":[88],"sequential":[90,104,166],"cover":[91,167],"set.":[95],"develop":[97],"simple":[99],"BDD-based":[100],"algorithm":[101,170],"for":[102],"computing":[103],"covers,":[105],"which":[106],"significantly":[107],"outperforms":[108],"state":[109],"art":[112],"terms":[115],"ratio-a":[118],"surprising":[119],"result":[120],"highlights":[122],"unexplored":[124],"potential":[125],"techniques":[128],"classification.":[131],"Despite":[132],"this":[133],"improvement,":[134],"very":[135],"industrial":[137,175],"still":[140],"beyond":[141],"reach.":[142],"decompose":[144],"such":[145],"into":[147],"pipeline":[149],"smaller":[151],"over":[153],"subsets":[154],"fields.":[158],"then":[160],"compress":[161,174],"each":[162],"technique.":[168],"Our":[169],"able":[172],"with":[178],"hundreds":[179],"thousands":[181],"rules":[182],"readily":[184]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
