{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,11]],"date-time":"2026-04-11T13:04:36Z","timestamp":1775912676048,"version":"3.50.1"},"reference-count":51,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Chinese National Research Fund","award":["62302048"],"award-info":[{"award-number":["62302048"]}]},{"name":"Chinese National Research Fund","award":["62272050"],"award-info":[{"award-number":["62272050"]}]},{"name":"Science and Technology Development Fund (FDCT) of Macau SAR","award":["0015\/2019\/AKP"],"award-info":[{"award-number":["0015\/2019\/AKP"]}]},{"name":"Open Foundation of Yunnan Key Laboratory of Software Engineering","award":["2023SE207"],"award-info":[{"award-number":["2023SE207"]}]},{"name":"Guangdong Key Laboratory of AI and Multi-modal Data Processing, Beijing Normal University-Hong Kong Baptist University United International College","award":["2020KSYS007"],"award-info":[{"award-number":["2020KSYS007"]}]},{"name":"Interdisciplinary Intelligence SuperComputer Center, Beijing Normal University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Networking"],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1109\/tnet.2023.3330255","type":"journal-article","created":{"date-parts":[[2023,11,10]],"date-time":"2023-11-10T19:24:28Z","timestamp":1699644268000},"page":"1807-1822","source":"Crossref","is-referenced-by-count":34,"title":["Multi-User Layer-Aware Online Container Migration in Edge-Assisted Vehicular Networks"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9375-4818","authenticated-orcid":false,"given":"Zhiqing","family":"Tang","sequence":"first","affiliation":[{"name":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China"}]},{"given":"Fangyi","family":"Mou","sequence":"additional","affiliation":[{"name":"Beijing Normal University&#x2013;Hong Kong Baptist University, Zhuhai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9245-2626","authenticated-orcid":false,"given":"Jiong","family":"Lou","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1000-3937","authenticated-orcid":false,"given":"Weijia","family":"Jia","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence and Future Networks, Beijing Normal University, Zhuhai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6661-9461","authenticated-orcid":false,"given":"Yuan","family":"Wu","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau, SAR, China"}]},{"given":"Wei","family":"Zhao","sequence":"additional","affiliation":[{"name":"CAS Shenzhen Institute of Advanced Technology, Shenzhen, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CC.2014.6969789"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2864141"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2954825"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3176924"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2023.3250495"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2019.1800309"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2974823"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3139995"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2963667"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2871842"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref13","volume-title":"Reinforcement Learning: An Introduction","author":"Sutton","year":"2018"},{"key":"ref14","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017","journal-title":"arXiv:1707.06347"},{"key":"ref15","volume-title":"CRAWDAD Dataset Roma\/Taxi","author":"Bracciale","year":"2014"},{"key":"ref16","first-page":"1","article-title":"Fast and efficient container startup at the edge via dependency scheduling","volume-title":"Proc. 3rd USENIX Workshop Hot Topics Edge Comput. (HotEdge)","author":"Fu"},{"key":"ref17","volume-title":"Kubernetes","year":"2023"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2022.3155935"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3128037"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155403"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2018.2827070"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2019.2916577"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2022.3197706"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2018.2869954"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.3006507"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2021.3080197"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2019.2891787"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC51071.2022.9771659"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488918"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488779"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/tsc.2022.3159728"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/tnsm.2022.3217134"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/tsc.2022.3230699"},{"key":"ref34","volume-title":"Docker in Practice","author":"Miell","year":"2019"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2892176"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2875337"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3195205"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2016.7524384"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref40","first-page":"1","article-title":"Deep recurrent Q-learning for partially observable MDPs","volume-title":"Proc. AAAI Fall Symp. Ser.","author":"Hausknecht"},{"key":"ref41","first-page":"1057","article-title":"Policy gradient methods for reinforcement learning with function approximation","volume-title":"Proc. 12th Int. Conf. Neural Inf. Process. Syst. (NIPS)","author":"Sutton"},{"key":"ref42","first-page":"1889","article-title":"Trust region policy optimization","volume-title":"Proc. 32nd Int. Conf. Int. Conf. Mach. Learn. (ICML)","author":"Schulman"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3116863"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3014896"},{"key":"ref45","volume-title":"PyTorch Documentation","year":"2023"},{"key":"ref46","first-page":"15908","article-title":"Transformer in transformer","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Han"},{"key":"ref47","first-page":"1","article-title":"Pruning convolutional neural networks for resource efficient inference","volume-title":"Proc. 5th Int. Conf. Learn. Represent.","author":"Molchanov"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-19-6153-3_13"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.5555\/3104322.3104425"},{"key":"ref50","volume-title":"Scheduling Framework","year":"2023"},{"key":"ref51","volume-title":"Monitoring With Prometheus","author":"Turnbull","year":"2018"}],"container-title":["IEEE\/ACM Transactions on Networking"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/90\/10505042\/10315072.pdf?arnumber=10315072","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T03:59:38Z","timestamp":1725249578000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10315072\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":51,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tnet.2023.3330255","relation":{},"ISSN":["1063-6692","1558-2566"],"issn-type":[{"value":"1063-6692","type":"print"},{"value":"1558-2566","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,4]]}}}