{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T20:06:57Z","timestamp":1773778017986,"version":"3.50.1"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,17]],"date-time":"2023-05-17T00:00:00Z","timestamp":1684281600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,17]],"date-time":"2023-05-17T00:00:00Z","timestamp":1684281600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,17]]},"DOI":"10.1109\/infocom53939.2023.10229100","type":"proceedings-article","created":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T13:40:43Z","timestamp":1693316443000},"page":"1-10","source":"Crossref","is-referenced-by-count":46,"title":["Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests"],"prefix":"10.1109","author":[{"given":"Aristide Tanyi-Jong","family":"Akem","sequence":"first","affiliation":[{"name":"IMDEA Networks Institute,Spain"}]},{"given":"Michele","family":"Gucciardo","sequence":"additional","affiliation":[{"name":"IMDEA Networks Institute,Spain"}]},{"given":"Marco","family":"Fiore","sequence":"additional","affiliation":[{"name":"IMDEA Networks Institute,Spain"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3138808.3138810"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/icc.2011.5963024"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3152434.3152461"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-71617-4_17"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3229591.3229594"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CONECT.2002.1039265"},{"key":"ref14","first-page":"785","article-title":"Scaling distributed machine learning with In-Network aggregation","author":"sapio","year":"2021","journal-title":"18th USENIX NSDI"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVE.2012.58"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3565475.3569074"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM48880.2022.9796936"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2656877.2656890"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/1198255.1198257"},{"key":"ref10","article-title":"Netronome Agilio SmartNICs","year":"2016"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1129582.1129589"},{"key":"ref2","article-title":"Zero-touch network and Service Management (ZSM); Proof of Concept Framework","year":"2022","journal-title":"ETSI GS ZSM 006"},{"key":"ref1","article-title":"Why (and how) networks should run themselves","volume":"abs 1710 11583","author":"feamster","year":"2017","journal-title":"CoRR"},{"key":"ref17","article-title":"Automating in-network machine learning","author":"zheng","year":"2022"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2883147"},{"key":"ref16","first-page":"25","article-title":"Do switches dream of machine learning? toward in-network classification","author":"xiong","year":"2019","journal-title":"HotNets 2019"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3457175.3457178"},{"key":"ref19","article-title":"In-network neural networks","volume":"abs 1801 5731","author":"siracusano","year":"2018","journal-title":"CoRR"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3565475.3569079"},{"key":"ref24","article-title":"IIsy: Practical in-network classification","author":"zheng","year":"2022"},{"key":"ref46","article-title":"Online SVM traffic classification","author":"este","year":"2011","journal-title":"2011 7th IWCMC"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3503222.3507726"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2008.334"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05440-2"},{"key":"ref25","article-title":"pForest: In-network inference with random forests","volume":"abs 1909 5680","author":"busse-grawitz","year":"2019","journal-title":"CoRR"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.5220\/0006639801080116"},{"key":"ref20","article-title":"Binaryconnect: Training deep neural networks with binary weights during propagations","volume":"28","author":"courbariaux","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1023\/A:1018590219790"},{"key":"ref41","article-title":"Wireshark","year":"0"},{"key":"ref22","article-title":"ConnectX SmartNICs - 10\/25\/40\/50\/100\/200 and 400G Ethernet Network Adapters","author":"corporation","year":"2022"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2866249"},{"key":"ref21","article-title":"Re-architecting traffic analysis with neural network interface cards","author":"siracusano","year":"2022","journal-title":"NSDI"},{"key":"ref43","article-title":"Tcpreplay","author":"turner","year":"2013"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488840"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3472716.3472846"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3094514"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3317550.3321439"},{"key":"ref7","article-title":"European Vision for the 6G Network Ecosystem","year":"2021"},{"key":"ref9","article-title":"Tofino Programmable Ethernet Switch ASIC","year":"2016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2904897"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"393","DOI":"10.1109\/COMST.2018.2866942","article-title":"A survey of machine learning techniques applied to software defined networking (SDN): Research issues and challenges","volume":"21","author":"xie","year":"2019","journal-title":"IEEE Communications Surveys & Tutorials"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/SSD.2019.8893244"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2928564"},{"key":"ref40","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"IEEE INFOCOM 2023 - IEEE Conference on Computer Communications","location":"New York City, NY, USA","start":{"date-parts":[[2023,5,17]]},"end":{"date-parts":[[2023,5,20]]}},"container-title":["IEEE INFOCOM 2023 - IEEE Conference on Computer Communications"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10228851\/10228852\/10229100.pdf?arnumber=10229100","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,18]],"date-time":"2023-09-18T13:45:40Z","timestamp":1695044740000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10229100\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,17]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/infocom53939.2023.10229100","relation":{},"subject":[],"published":{"date-parts":[[2023,5,17]]}}}