{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T06:17:02Z","timestamp":1774419422187,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Key Research and Development Program of China, Nature and Science Foundation of China","doi-asserted-by":"publisher","award":["2018YFE0206800"],"award-info":[{"award-number":["2018YFE0206800"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Key Research and Development Program of China, Nature and Science Foundation of China","doi-asserted-by":"publisher","award":["61471029"],"award-info":[{"award-number":["61471029"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Key Research and Development Program of China, Nature and Science Foundation of China","doi-asserted-by":"publisher","award":["61972026"],"award-info":[{"award-number":["61972026"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Serv. Manage."],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1109\/tnsm.2021.3055494","type":"journal-article","created":{"date-parts":[[2021,1,29]],"date-time":"2021-01-29T20:50:32Z","timestamp":1611953432000},"page":"1758-1774","source":"Crossref","is-referenced-by-count":63,"title":["DRL-QOR: Deep Reinforcement Learning-Based QoS\/QoE-Aware Adaptive Online Orchestration in NFV-Enabled Networks"],"prefix":"10.1109","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2016-5609","authenticated-orcid":false,"given":"Jing","family":"Chen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1785-8746","authenticated-orcid":false,"given":"Jia","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8906-813X","authenticated-orcid":false,"given":"Hongke","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"807","article-title":"Rectified linear units improve restricted Boltzmann machines","author":"nair","year":"2010","journal-title":"Proc 27th Int Conf Mach Learn (ICML)"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2016.2598068"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2003.822655"},{"key":"ref32","first-page":"1","article-title":"ATMoS: Autonomous threat mitigation in SDN using reinforcement learning","author":"akbari","year":"2020","journal-title":"Proc IEEE\/IFIP Netw Oper Manag Symp"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.1900178"},{"key":"ref30","article-title":"Efficient provision of service function chains in overlay networks using reinforcement learning","author":"li","year":"2019","journal-title":"IEEE Trans Cloud Comput"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.2986592"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946797"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2019.2901669"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/PST.2015.7232949"},{"key":"ref10","year":"2013","journal-title":"Network Function Virtualization"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1038\/nature13530"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2013.013013.00155"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/2775088.2775103"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2019.01.036"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2015.09.035"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2018.2802518"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/NETSOFT.2015.7116120"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/NETSOFT.2015.7116121"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2018.8485996"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/NETSOFT.2017.8004104"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2010.5430142"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2016.2569020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2010.5501894"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2015.2502252"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2018.8486320"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2916583"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2016.2598420"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref7","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2017.2668470"},{"key":"ref9","author":"li","year":"2017","journal-title":"Deep reinforcement learning An overview"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2016.2611510"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2015.07.020"},{"key":"ref22","first-page":"36","article-title":"Environment-adaptive sizing and placement of NFV service chains with accelerated reinforcement learning","author":"nakanoya","year":"2019","journal-title":"Proc IFIP\/IEEE Symp Integr Netw Service Manag"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/SCC.2016.12"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/S0377-2217(99)00265-9"},{"key":"ref24","first-page":"1","article-title":"Reinforcement learning-based QoS\/QoE-aware service function chaining in software-driven 5G slices","volume":"29","author":"xi","year":"2018","journal-title":"Trans Emerg Telecommun Technol"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/2934872.2959058"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2959181"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2020-Spring48590.2020.9128963"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/sym10110646"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1109\/MCOM.2018.1701336","article-title":"Automated network service scaling in NFV: Concepts, mechanisms and scaling workflow","volume":"56","author":"oscar","year":"2018","journal-title":"IEEE Commun Mag"}],"container-title":["IEEE Transactions on Network and Service Management"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4275028\/9450206\/09340388.pdf?arnumber=9340388","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:52:39Z","timestamp":1652194359000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9340388\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6]]},"references-count":43,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tnsm.2021.3055494","relation":{},"ISSN":["1932-4537","2373-7379"],"issn-type":[{"value":"1932-4537","type":"electronic"},{"value":"2373-7379","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,6]]}}}