{"id":"https://openalex.org/W4393280748","doi":"https://doi.org/10.1145/3649473","title":"Taming the Elephants: Affordable Flow Length Prediction in the Data Plane","display_name":"Taming the Elephants: Affordable Flow Length Prediction in the Data Plane","publication_year":2024,"publication_date":"2024-03-28","ids":{"openalex":"https://openalex.org/W4393280748","doi":"https://doi.org/10.1145/3649473"},"language":"en","primary_location":{"id":"doi:10.1145/3649473","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649473","pdf_url":null,"source":{"id":"https://openalex.org/S4387290834","display_name":"Proceedings of the ACM on Networking","issn_l":"2834-5509","issn":["2834-5509"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Networking","raw_type":"journal-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/A5054250433","display_name":"Rapha\u00ebl Azorin","orcid":"https://orcid.org/0000-0001-6327-340X"},"institutions":[{"id":"https://openalex.org/I1902872","display_name":"EURECOM","ror":"https://ror.org/00sse7z02","country_code":"FR","type":"education","lineage":["https://openalex.org/I1902872","https://openalex.org/I205703379"]},{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Raphael Azorin","raw_affiliation_strings":["Huawei Technologies Co. Ltd &amp; EURECOM, Boulogne-Billancourt (Paris), France"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co. Ltd &amp; EURECOM, Boulogne-Billancourt (Paris), France","institution_ids":["https://openalex.org/I4210123571","https://openalex.org/I1902872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031161502","display_name":"Andrea Monterubbiano","orcid":"https://orcid.org/0000-0001-7584-8952"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Monterubbiano","raw_affiliation_strings":["University of Rome La Sapienza, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"University of Rome La Sapienza, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038191756","display_name":"Gabriele Castellano","orcid":"https://orcid.org/0000-0002-1889-7675"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gabriele Castellano","raw_affiliation_strings":["Huawei Technologies Co. Ltd, Boulogne-Billancourt (Paris), France"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co. Ltd, Boulogne-Billancourt (Paris), France","institution_ids":["https://openalex.org/I4210123571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086768160","display_name":"Massimo Gallo","orcid":"https://orcid.org/0000-0001-8781-0775"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Massimo Gallo","raw_affiliation_strings":["Huawei Technologies Co. Ltd, Boulogne-Billancourt (Paris), France"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co. Ltd, Boulogne-Billancourt (Paris), France","institution_ids":["https://openalex.org/I4210123571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010562631","display_name":"Salvatore Pontarelli","orcid":"https://orcid.org/0000-0002-3626-6404"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Salvatore Pontarelli","raw_affiliation_strings":["University of Rome La Sapienza, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"University of Rome La Sapienza, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052449763","display_name":"Dario Rossi","orcid":"https://orcid.org/0000-0003-3936-8876"},"institutions":[{"id":"https://openalex.org/I4210123571","display_name":"Huawei Technologies (France)","ror":"https://ror.org/02rbzf697","country_code":"FR","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210123571"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Dario Rossi","raw_affiliation_strings":["Huawei Technologies Co. Ltd, Boulogne-Billancourt (Paris), France"],"affiliations":[{"raw_affiliation_string":"Huawei Technologies Co. Ltd, Boulogne-Billancourt (Paris), France","institution_ids":["https://openalex.org/I4210123571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5054250433"],"corresponding_institution_ids":["https://openalex.org/I1902872","https://openalex.org/I4210123571"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03101901,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":"CoNEXT1","first_page":"1","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9950000047683716,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9950000047683716,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9800999760627747,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5172465443611145},{"id":"https://openalex.org/keywords/plane","display_name":"Plane (geometry)","score":0.4325481057167053},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.382683128118515},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3780403733253479},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3591070771217346},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.18652400374412537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1740528643131256}],"concepts":[{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5172465443611145},{"id":"https://openalex.org/C17825722","wikidata":"https://www.wikidata.org/wiki/Q17285","display_name":"Plane (geometry)","level":2,"score":0.4325481057167053},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.382683128118515},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3780403733253479},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3591070771217346},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.18652400374412537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1740528643131256}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3649473","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3649473","pdf_url":null,"source":{"id":"https://openalex.org/S4387290834","display_name":"Proceedings of the ACM on Networking","issn_l":"2834-5509","issn":["2834-5509"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Networking","raw_type":"journal-article"},{"id":"pmh:oai:fr.eurecom:7658","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196942","display_name":"Graduate School and Research Center in Digital Science (EURECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1902872","host_organization_name":"EURECOM","host_organization_lineage":["https://openalex.org/I1902872"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":" ACM on Networking, Vol. 2, Issue CoNEXT1, Article N\u00b05","raw_type":"Journal"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W95608104","https://openalex.org/W1620258451","https://openalex.org/W2080234606","https://openalex.org/W2123845384","https://openalex.org/W2149804187","https://openalex.org/W2168595508","https://openalex.org/W2567615407","https://openalex.org/W2605823630","https://openalex.org/W2834288129","https://openalex.org/W2914255271","https://openalex.org/W2915376612","https://openalex.org/W2963274201","https://openalex.org/W2968108410","https://openalex.org/W2971243175","https://openalex.org/W2983123278","https://openalex.org/W3004286518","https://openalex.org/W3016354376","https://openalex.org/W3046470751","https://openalex.org/W3049157033","https://openalex.org/W3082547393","https://openalex.org/W3100923768","https://openalex.org/W3186699842","https://openalex.org/W3193293525","https://openalex.org/W3196051090","https://openalex.org/W4210258659","https://openalex.org/W4232284301","https://openalex.org/W4241306973","https://openalex.org/W4290990900","https://openalex.org/W4311134492","https://openalex.org/W4327911843","https://openalex.org/W4386378178"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W4252886905","https://openalex.org/W2884999119"],"abstract_inverted_index":{"Machine":[0],"Learning":[1],"(ML)":[2],"shows":[3],"promising":[4],"potential":[5],"for":[6],"enhancing":[7],"networking":[8],"tasks":[9],"by":[10,165],"providing":[11],"early":[12,93,112],"traffic":[13,140],"predictions.":[14],"However,":[15],"implementing":[16],"an":[17,55,146,151],"ML-enabled":[18],"system":[19,52,77,88,101,125],"is":[20,53,177],"a":[21,49,85,106,172],"challenging":[22],"task":[23],"due":[24],"to":[25,63,69,89],"network":[26,167],"devices":[27,168],"limited":[28],"resources.":[29],"While":[30],"previous":[31],"works":[32],"have":[33],"shown":[34],"the":[35,43,72,76,118,123],"feasibility":[36],"of":[37],"running":[38,149],"simple":[39,107],"ML":[40,108,174],"models":[41],"in":[42,117],"data":[44,119,169],"plane,":[45],"integrating":[46],"them":[47],"into":[48],"practical":[50],"end-to-end":[51,87],"not":[54],"easy":[56],"task.":[57],"It":[58],"requires":[59],"addressing":[60],"issues":[61],"related":[62],"resource":[64],"management":[65],"and":[66,91,104,134,142],"model":[67,109],"maintenance":[68],"ensure":[70],"that":[71,110,159],"performance":[73],"improvement":[74],"justifies":[75],"overhead.":[78],"In":[79],"this":[80],"work,":[81],"we":[82],"propose":[83],"DUMBO,":[84],"versatile":[86],"generate":[90],"exploit":[92],"flow":[94,114,127,135],"size":[95,115,136],"predictions":[96],"at":[97,179],"line":[98],"rate.":[99],"Our":[100,156],"seamlessly":[102],"integrates":[103],"maintains":[105],"offers":[111],"coarse-grain":[113],"prediction":[116],"plane.":[120],"We":[121],"evaluate":[122],"proposed":[124],"on":[126,150],"scheduling,":[128],"per-flow":[129],"packet":[130],"inter-arrival":[131],"time":[132],"distribution,":[133],"estimation":[137],"using":[138,145],"real":[139],"traces,":[141],"perform":[143],"experiments":[144],"FPGA":[147],"prototype":[148],"AMD(R)-Xilinx(R)":[152],"Alveo":[153],"U280":[154],"SmartNIC.":[155],"results":[157],"show":[158],"DUMBO":[160],"outperforms":[161],"traditional":[162],"state-of-the-art":[163],"approaches":[164],"equipping":[166],"planes":[170],"with":[171],"lightweight":[173],"model.":[175],"Code":[176],"available":[178],"https://github.com/cpt-harlock/DUMBO.":[180]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
