{"id":"https://openalex.org/W2917237510","doi":"https://doi.org/10.1145/3314148.3314346","title":"How to deal with range-based packet classifiers","display_name":"How to deal with range-based packet classifiers","publication_year":2019,"publication_date":"2019-04-03","ids":{"openalex":"https://openalex.org/W2917237510","doi":"https://doi.org/10.1145/3314148.3314346","mag":"2917237510"},"language":"en","primary_location":{"id":"doi:10.1145/3314148.3314346","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314148.3314346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM Symposium on SDN Research","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/A5066506401","display_name":"Vitalii Demianiuk","orcid":"https://orcid.org/0000-0002-8467-6416"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]},{"id":"https://openalex.org/I2800906181","display_name":"St. Petersburg Department of Steklov Institute of Mathematics","ror":"https://ror.org/030h9s280","country_code":"RU","type":"facility","lineage":["https://openalex.org/I1313323035","https://openalex.org/I2800906181","https://openalex.org/I4210124601"]}],"countries":["ES","RU"],"is_corresponding":true,"raw_author_name":"Vitalii Demianiuk","raw_affiliation_strings":["IMDEA Networks Institute, Steklov Institute of Mathematics at St. Petersburg"],"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute, Steklov Institute of Mathematics at St. Petersburg","institution_ids":["https://openalex.org/I2800906181","https://openalex.org/I2802499160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017994633","display_name":"Kirill Kogan","orcid":"https://orcid.org/0000-0001-5384-1899"},"institutions":[{"id":"https://openalex.org/I2802499160","display_name":"IMDEA Networks","ror":"https://ror.org/04mm9fg30","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I2802499160"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Kirill Kogan","raw_affiliation_strings":["IMDEA Networks Institute"],"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute","institution_ids":["https://openalex.org/I2802499160"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066506401"],"corresponding_institution_ids":["https://openalex.org/I2800906181","https://openalex.org/I2802499160"],"apc_list":null,"apc_paid":null,"fwci":0.7223,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65992695,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"35"},"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":0.9883000254631042,"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/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9580000042915344,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7768329381942749},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.676917552947998},{"id":"https://openalex.org/keywords/content-addressable-memory","display_name":"Content-addressable memory","score":0.5934519171714783},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5883762240409851},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.556308925151825},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5108410716056824},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.5056464672088623},{"id":"https://openalex.org/keywords/ternary-operation","display_name":"Ternary operation","score":0.5041004419326782},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4825010299682617},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4723029136657715},{"id":"https://openalex.org/keywords/forwarding-plane","display_name":"Forwarding plane","score":0.44445809721946716},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4304564297199249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3916974365711212},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3526321053504944},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18795105814933777},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16558706760406494},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1619643270969391},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08456313610076904},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07722476124763489}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7768329381942749},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.676917552947998},{"id":"https://openalex.org/C53442348","wikidata":"https://www.wikidata.org/wiki/Q745101","display_name":"Content-addressable memory","level":3,"score":0.5934519171714783},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5883762240409851},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.556308925151825},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5108410716056824},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.5056464672088623},{"id":"https://openalex.org/C64452783","wikidata":"https://www.wikidata.org/wiki/Q1524945","display_name":"Ternary operation","level":2,"score":0.5041004419326782},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4825010299682617},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4723029136657715},{"id":"https://openalex.org/C10597312","wikidata":"https://www.wikidata.org/wiki/Q5473302","display_name":"Forwarding plane","level":3,"score":0.44445809721946716},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4304564297199249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3916974365711212},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3526321053504944},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18795105814933777},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16558706760406494},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1619643270969391},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08456313610076904},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07722476124763489},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3314148.3314346","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3314148.3314346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM Symposium on SDN Research","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":15,"referenced_works":["https://openalex.org/W1977053091","https://openalex.org/W1992811742","https://openalex.org/W2025710913","https://openalex.org/W2031333396","https://openalex.org/W2076106147","https://openalex.org/W2129893246","https://openalex.org/W2139587756","https://openalex.org/W2145522208","https://openalex.org/W2288575218","https://openalex.org/W2401610261","https://openalex.org/W2515027412","https://openalex.org/W2755721534","https://openalex.org/W2792001294","https://openalex.org/W3139477406","https://openalex.org/W3139681473"],"related_works":["https://openalex.org/W116776481","https://openalex.org/W2039199837","https://openalex.org/W2125008614","https://openalex.org/W2926903444","https://openalex.org/W279701215","https://openalex.org/W2107697999","https://openalex.org/W1902246517","https://openalex.org/W3145837419","https://openalex.org/W1517507980","https://openalex.org/W23944617"],"abstract_inverted_index":{"Efficient":[0],"representations":[1],"of":[2,49,65,78,85,100,107],"multi-field":[3],"packet":[4,112],"classifiers":[5,23],"with":[6,93],"fields":[7],"represented":[8,51],"by":[9],"ranges":[10],"is":[11,40],"a":[12,50,63,66,71,94],"core":[13],"mechanism":[14],"to":[15,44,69,103],"express":[16],"services":[17],"on":[18,74],"data":[19],"plane.":[20],"To":[21],"implement":[22,104],"in":[24,111],"ternary-addressable":[25],"memory":[26],"(TCAM),":[27],"each":[28],"range":[29,55,73],"should":[30],"be":[31],"encoded":[32],"into":[33],"multiple":[34],"ternary":[35],"bit":[36,79],"strings":[37],"whose":[38],"number":[39],"at":[41],"most":[42],"linear":[43],"the":[45],"width":[46],"(in":[47],"bits)":[48],"field":[52,72],"independently":[53],"from":[54],"encoding":[56],"method.":[57],"In":[58],"this":[59],"paper":[60],"we":[61],"introduce":[62],"notion":[64],"subrange":[67],"allowing":[68],"represent":[70],"any":[75],"chosen":[76],"subset":[77],"indices":[80],"that":[81],"significantly":[82],"improve":[83],"efficiency":[84],"classifier":[86],"representations.":[87],"Our":[88],"analytic":[89],"results":[90],"are":[91],"confirmed":[92],"comprehensive":[95],"evaluation":[96],"study":[97],"showing":[98],"applicability":[99],"our":[101],"approach":[102],"desired":[105],"levels":[106],"expressiveness":[108],"and":[109],"scalability":[110],"classifiers.":[113]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
