{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T00:35:08Z","timestamp":1787013308256,"version":"build-2736575974"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001659","name":"German Research Foundation","doi-asserted-by":"publisher","award":["KE 1863\/8-1"],"award-info":[{"award-number":["KE 1863\/8-1"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Federal Ministry of Education and Research Germany","award":["16KIS0260"],"award-info":[{"award-number":["16KIS0260"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Serv. Manage."],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1109\/tnsm.2020.2976838","type":"journal-article","created":{"date-parts":[[2020,2,27]],"date-time":"2020-02-27T17:10:01Z","timestamp":1582823401000},"page":"807-820","source":"Crossref","is-referenced-by-count":26,"title":["Network Function Offloading Through Classification of Elephant Flows"],"prefix":"10.1109","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4963-1834","authenticated-orcid":false,"given":"Raphael","family":"Durner","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4358-8038","authenticated-orcid":false,"given":"Wolfgang","family":"Kellerer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3030207.3030212"},{"key":"ref32","article-title":"sFlow specification version 5","author":"phaal","year":"2004"},{"key":"ref31","first-page":"148","article-title":"Experiments with a new boosting algorithm","author":"freund","year":"1996","journal-title":"Proc 13th Int Conf Mach Learn"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref35","year":"2016","journal-title":"The CAIDA Anonymized Internet Traces 2016 Dataset"},{"key":"ref34","year":"0","journal-title":"WIDE Traffic Archive"},{"key":"ref10","first-page":"311","article-title":"FlowRadar: A better NetFlow for data centers","author":"li","year":"2016","journal-title":"Proc USENIX Symp Netw Syst Design Implem (NSDI)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LCOM.2006.224421"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2017.8057216"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/2096149.2096152"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/2043164.2018466"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1028788.1028803"},{"key":"ref16","first-page":"567","article-title":"Sift: A simple algorithm for tracking elephant flows, and taking advantage of power laws","author":"psounis","year":"2005","journal-title":"Proc 43rd Allerton Conf Commun Control Comput"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2829988.2790009"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2011.5934956"},{"key":"ref19","first-page":"19","article-title":"Hedera: Dynamic flow scheduling for data center networks","author":"al-fares","year":"2010","journal-title":"Proc 9th USENIX Conf Netw Syst Design Implement (NSDI)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-59286-5_57"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/NFV-SDN.2015.7387413"},{"key":"ref27","first-page":"562","article-title":"The optimality of naive bayes","author":"zhang","year":"2004","journal-title":"Proc 17th Int Florida Artif Intell Res Soc Conf"},{"key":"ref3","article-title":"Scipass: A 100Gbps capable secure science DMZ using openflow and bro","author":"balas","year":"2014","journal-title":"Proc Supercomput (SC)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CCNC.2006.1593191"},{"key":"ref29","author":"quinlan","year":"1993","journal-title":"C4 5 Programs for Machine Learning"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.23919\/CNSM.2017.8255971"},{"key":"ref8","first-page":"51","article-title":"Azure accelerated networking: Smartnics in the public cloud","author":"firestone","year":"2018","journal-title":"Proc USENIX Symp Netw Syst Design Implem (NSDI)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2984356.2984358"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761434"},{"key":"ref9","author":"claise","year":"2004","journal-title":"Rfc 3954 Cisco Systems Netflow Services Export Version 9"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3123878.3131970"},{"key":"ref20","first-page":"1","article-title":"Classifying elephant and mice flows in high-speed scientific networks","author":"chhabra","year":"2017","journal-title":"Proc INDIS"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.4108\/icst.iniscom.2015.258274"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICNP.2016.7785324"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2016.2597846"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICTON.2016.7550294"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.17487\/rfc7413"},{"key":"ref25","article-title":"The WEKA workbench","author":"eibe","year":"2016","journal-title":"Data Mining Practical Machine Learning Tools and Techniques"}],"container-title":["IEEE Transactions on Network and Service Management"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4275028\/9114348\/09016231.pdf?arnumber=9016231","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T13:05:00Z","timestamp":1651064700000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9016231\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":35,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tnsm.2020.2976838","relation":{},"ISSN":["1932-4537","2373-7379"],"issn-type":[{"value":"1932-4537","type":"electronic"},{"value":"2373-7379","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6]]}}}