{"id":"https://openalex.org/W4401508279","doi":"https://doi.org/10.1109/infocom52122.2024.10621365","title":"Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches","display_name":"Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4401508279","doi":"https://doi.org/10.1109/infocom52122.2024.10621365"},"language":"en","primary_location":{"id":"doi:10.1109/infocom52122.2024.10621365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom52122.2024.10621365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.10731524","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061387464","display_name":"Aristide Tanyi\u2010Jong Akem","orcid":"https://orcid.org/0000-0002-4359-0173"},"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":true,"raw_author_name":"Aristide Tanyi-Jong Akem","raw_affiliation_strings":["IMDEA Networks Institute,Spain"],"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute,Spain","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068264569","display_name":"Beyza B\u00fct\u00fcn","orcid":"https://orcid.org/0000-0001-7442-9668"},"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":"Beyza B\u00fct\u00fcn","raw_affiliation_strings":["IMDEA Networks Institute,Spain"],"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute,Spain","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062887307","display_name":"Michele Gucciardo","orcid":"https://orcid.org/0000-0001-5689-9949"},"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":"Michele Gucciardo","raw_affiliation_strings":["IMDEA Networks Institute,Spain"],"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute,Spain","institution_ids":["https://openalex.org/I2802499160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057196170","display_name":"Marco Fiore","orcid":"https://orcid.org/0000-0002-0772-9967"},"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":"Marco Fiore","raw_affiliation_strings":["IMDEA Networks Institute,Spain"],"affiliations":[{"raw_affiliation_string":"IMDEA Networks Institute,Spain","institution_ids":["https://openalex.org/I2802499160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061387464"],"corresponding_institution_ids":["https://openalex.org/I2802499160"],"apc_list":null,"apc_paid":null,"fwci":7.3113,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.97552194,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1631","last_page":"1640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":1.0,"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/T10714","display_name":"Software-Defined Networks and 5G","score":1.0,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.9991999864578247,"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/T11478","display_name":"Caching and Content Delivery","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"}}],"keywords":[{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6859190464019775},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6831325888633728},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6014643907546997},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.4873962998390198},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.48413142561912537},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.48273274302482605},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.3924839496612549},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.38337254524230957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1327134370803833},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11680611968040466}],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6859190464019775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6831325888633728},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6014643907546997},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4873962998390198},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.48413142561912537},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.48273274302482605},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3924839496612549},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.38337254524230957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1327134370803833},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11680611968040466},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/infocom52122.2024.10621365","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom52122.2024.10621365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"},{"id":"doi:10.5281/zenodo.10731524","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10731524","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.5281/zenodo.10731524","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10731524","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322835","display_name":"Ministry of Economic Affairs","ror":"https://ror.org/042ge0913"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null},{"id":"https://openalex.org/F4320338463","display_name":"CHIST-ERA","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1979866793","https://openalex.org/W1994926493","https://openalex.org/W2001276479","https://openalex.org/W2005780008","https://openalex.org/W2101284612","https://openalex.org/W2877069161","https://openalex.org/W2888505697","https://openalex.org/W2889422404","https://openalex.org/W2915905517","https://openalex.org/W2944456270","https://openalex.org/W2960791616","https://openalex.org/W2962883549","https://openalex.org/W2983123278","https://openalex.org/W2984543640","https://openalex.org/W3085955590","https://openalex.org/W3100529623","https://openalex.org/W3153512259","https://openalex.org/W3193293525","https://openalex.org/W3196051090","https://openalex.org/W4213060442","https://openalex.org/W4225101029","https://openalex.org/W4280576628","https://openalex.org/W4280588222","https://openalex.org/W4283207618","https://openalex.org/W4285328108","https://openalex.org/W4295023660","https://openalex.org/W4296918427","https://openalex.org/W4311134492","https://openalex.org/W4311136095","https://openalex.org/W4312527014","https://openalex.org/W4313451572","https://openalex.org/W4381085527","https://openalex.org/W4386260575","https://openalex.org/W6768046412","https://openalex.org/W6802515994","https://openalex.org/W6809934879","https://openalex.org/W6838224072","https://openalex.org/W6838761101","https://openalex.org/W7006806681"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W1996130883","https://openalex.org/W2748574964","https://openalex.org/W2888483922","https://openalex.org/W4396737233","https://openalex.org/W4321636575","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W2367747139","https://openalex.org/W2045526782"],"abstract_inverted_index":{"Embedding":[0],"machine":[1],"learning":[2],"(ML)":[3],"models":[4,29],"in":[5,24,30,56,73,142,147,178],"programmable":[6],"switches":[7,31],"realizes":[8],"the":[9,60,94,179],"vision":[10],"of":[11,96,162],"high-throughput":[12],"and":[13,105,125,127,132,144],"low-latency":[14],"inference":[15,35,109],"at":[16],"line":[17],"rate.":[18],"Recent":[19],"works":[20],"have":[21],"made":[22],"breakthroughs":[23],"embedding":[25],"Random":[26],"Forest":[27],"(RF)":[28],"for":[32,135],"either":[33],"packet-level":[34],"or":[36],"flow-level":[37,90,108],"inference.":[38],"The":[39],"former":[40],"relies":[41],"on":[42,85],"simple":[43,50],"features":[44,65],"from":[45],"packet":[46],"headers":[47],"that":[48],"are":[49],"to":[51,66,107,121],"implement":[52,140],"but":[53,69],"limit":[54],"accuracy":[55,176],"challenging":[57],"use":[58,164],"cases;":[59],"latter":[61],"exploits":[62],"richer":[63],"flow":[64,75,102],"improve":[67],"accuracy,":[68],"leaves":[70],"early":[71,101],"packets":[72,103,124],"each":[74],"unclassified.":[76],"We":[77,139],"propose":[78],"Jewel,":[79],"an":[80],"in-switch":[81],"ML":[82],"model":[83,119,130],"based":[84],"a":[86,116,148,160],"fully":[87],"joint":[88],"packet-and":[89],"design,":[91],"which":[92],"takes":[93],"best":[95],"both":[97,123],"worlds":[98],"by":[99],"classifying":[100],"individually":[104],"shifting":[106],"when":[110],"possible.":[111],"Our":[112],"proposal":[113],"involves":[114],"(i)":[115],"single":[117],"RF":[118],"trained":[120],"classify":[122],"flows,":[126],"(ii)":[128],"hardware-aware":[129],"selection":[131],"training":[133],"techniques":[134],"resource":[136],"footprint":[137],"minimization.":[138],"Jewel":[141],"P4":[143],"deploy":[145],"it":[146],"testbed":[149],"with":[150,159,175],"Intel":[151],"Tofino":[152],"switches,":[153],"where":[154],"we":[155],"run":[156],"extensive":[157],"experiments":[158],"variety":[161],"real-world":[163],"cases.":[165],"Results":[166],"reveal":[167],"how":[168],"our":[169],"solution":[170],"outperforms":[171],"four":[172],"state-of-the-art":[173],"benchmarks,":[174],"gains":[177],"2.0%\u20135.3%":[180],"range.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":8}],"updated_date":"2026-03-31T07:56:22.981413","created_date":"2025-10-10T00:00:00"}
