{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:59:13Z","timestamp":1772121553213,"version":"3.50.1"},"reference-count":31,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,12,1]],"date-time":"2024-12-01T00:00:00Z","timestamp":1733011200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T00:00:00Z","timestamp":1725580800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Communications"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1016\/j.comcom.2024.107937","type":"journal-article","created":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T21:10:29Z","timestamp":1725743429000},"page":"107937","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":2,"special_numbering":"C","title":["Transfer learning-accelerated network slice management for next generation services"],"prefix":"10.1016","volume":"228","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3396-3837","authenticated-orcid":false,"given":"Sam","family":"Aleyadeh","sequence":"first","affiliation":[]},{"given":"Ibrahim","family":"Tamim","sequence":"additional","affiliation":[]},{"given":"Abdallah","family":"Shami","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.comcom.2024.107937_b1","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1109\/OJCOMS.2022.3140272","article-title":"Optimal container migration\/re-instantiation in hybrid computing environments","volume":"3","author":"Aleyadeh","year":"2022","journal-title":"IEEE Open J. Commun. Soc."},{"key":"10.1016\/j.comcom.2024.107937_b2","first-page":"1","article-title":"End-to-end next-generation network testbed: Towards a fully automated network management platform","author":"Chouman","year":"2024","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"key":"10.1016\/j.comcom.2024.107937_b3","doi-asserted-by":"crossref","unstructured":"A. Chouman, D.M. Manias, A. Shami, A reliable AMF scaling and load balancing framework for 5G core networks, in: 2023 International Wireless Communications and Mobile Computing, IWCMC, 2023, pp. 252\u2013257.","DOI":"10.1109\/IWCMC58020.2023.10182447"},{"key":"10.1016\/j.comcom.2024.107937_b4","series-title":"Understanding O-RAN: Architecture, interfaces, algorithms, security, and research challenges","author":"Polese","year":"2022"},{"key":"10.1016\/j.comcom.2024.107937_b5","series-title":"IEEE Globecom Workshops","first-page":"1","article-title":"Hosting AI\/ML workflows on O-RAN RIC platform","author":"Lee","year":"2020"},{"issue":"2","key":"10.1016\/j.comcom.2024.107937_b6","doi-asserted-by":"crossref","first-page":"2253","DOI":"10.1109\/TNSM.2023.3339302","article-title":"Alap: Availability- and latency-aware protection for O-RAN: A deep q-learning approach","volume":"21","author":"Tamim","year":"2024","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"issue":"1","key":"10.1016\/j.comcom.2024.107937_b7","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1109\/COMST.2018.2862404","article-title":"Traffic steering for service function chaining","volume":"21","author":"Hantouti","year":"2019","journal-title":"IEEE Commun. Surv. Tutor."},{"issue":"24","key":"10.1016\/j.comcom.2024.107937_b8","doi-asserted-by":"crossref","first-page":"8173","DOI":"10.3390\/s21248173","article-title":"Toward modular and flexible open RAN implementations in 6G networks: Traffic steering use case and O-RAN xApps","volume":"21","author":"Dryja\u0144ski","year":"2021","journal-title":"Sensors"},{"issue":"1","key":"10.1016\/j.comcom.2024.107937_b9","doi-asserted-by":"crossref","first-page":"174","DOI":"10.1109\/TNSM.2023.3292986","article-title":"Proactive vnf scaling and placement in 5G O-RAN using ML","volume":"21","author":"Ali","year":"2024","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"key":"10.1016\/j.comcom.2024.107937_b10","doi-asserted-by":"crossref","unstructured":"E. Figetakis, A. Refaey, Autonomous MEC selection in federated next-gen networks via deep reinforcement learning, in: GLOBECOM 2023-2023 IEEE Global Communications Conference, 2023, pp. 2045\u20132050.","DOI":"10.1109\/GLOBECOM54140.2023.10437048"},{"issue":"1","key":"10.1016\/j.comcom.2024.107937_b11","doi-asserted-by":"crossref","first-page":"153","DOI":"10.3390\/network2010011","article-title":"5G network slice isolation","volume":"2","author":"Wong","year":"2022","journal-title":"Network"},{"key":"10.1016\/j.comcom.2024.107937_b12","series-title":"Reference architecture for slicing in lorawan networks","author":"Guillemin","year":"2021"},{"issue":"11","key":"10.1016\/j.comcom.2024.107937_b13","doi-asserted-by":"crossref","first-page":"2522","DOI":"10.1109\/JSAC.2017.2760158","article-title":"QoS-aware and reliable traffic steering for service function chaining in mobile networks","volume":"35","author":"Yu","year":"2017","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"10.1016\/j.comcom.2024.107937_b14","series-title":"Joint power allocation and network slicing in an open RAN system","author":"Motalleb","year":"2019"},{"key":"10.1016\/j.comcom.2024.107937_b15","doi-asserted-by":"crossref","unstructured":"P. Foroughi, P. Martins, P. Nivaggioli, J.-L. Rougier, Slice-aware open radio access network planning and dimensioning, in: VTC, 2022, pp. 1\u20137.","DOI":"10.1109\/VTC2022-Fall57202.2022.10012946"},{"issue":"3","key":"10.1016\/j.comcom.2024.107937_b16","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1109\/MCOMSTD.0001.2200017","article-title":"Predictive closed-loop service automation in O-RAN based network slicing","volume":"6","author":"Thaliath","year":"2022","journal-title":"IEEE Commun. Stand. Mag."},{"key":"10.1016\/j.comcom.2024.107937_b17","doi-asserted-by":"crossref","unstructured":"I. Tamim, A. Saci, M. Jammal, A. Shami, Downtime-Aware O-RAN VNF Deployment Strategy for Optimized Self-Healing in the O-Cloud, in: IEEE Global Communications Conference, GLOBECOM, 2021, pp. 1\u20136.","DOI":"10.1109\/GLOBECOM46510.2021.9685775"},{"key":"10.1016\/j.comcom.2024.107937_b18","doi-asserted-by":"crossref","unstructured":"A. Kak, V.-Q. Pham, H.-T. Thieu, N. Choi, A disaggregated O-RAN platform for network slice deployment and assurance, in: INFOCOM, 2022, pp. 1\u20132.","DOI":"10.1109\/INFOCOMWKSHPS54753.2022.9798220"},{"key":"10.1016\/j.comcom.2024.107937_b19","doi-asserted-by":"crossref","unstructured":"Q. Duong, I. Tamim, B. Jaumard, A. Shami, A Column Generation Algorithm for Dedicated-Protection O-RAN VNF deployment, in: IEEE International Wireless Communications and Mobile Computing Conference, IWCMC, 2022.","DOI":"10.1109\/IWCMC55113.2022.9825080"},{"key":"10.1016\/j.comcom.2024.107937_b20","article-title":"Consortium blockchain-based spectrum trading for network slicing in 5G RAN: A multi-agent deep reinforcement learning approach","author":"Boateng","year":"2022","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"1","key":"10.1016\/j.comcom.2024.107937_b21","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1109\/MCOMSTD.0002.2100078","article-title":"Communication and computation O-RAN resource slicing for URLLC services using deep reinforcement learning","volume":"7","author":"Filali","year":"2023","journal-title":"IEEE Commun. Stand. Mag."},{"issue":"6","key":"10.1016\/j.comcom.2024.107937_b22","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1109\/MNET.111.2100322","article-title":"Zero-touch AI-driven distributed management for energy-efficient 6G massive network slicing","volume":"35","author":"Chergui","year":"2021","journal-title":"IEEE Netw."},{"issue":"1","key":"10.1016\/j.comcom.2024.107937_b23","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1109\/TNSM.2022.3205415","article-title":"Resource allocation in an open RAN system using network slicing","volume":"20","author":"Karbalaee Motalleb","year":"2023","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"key":"10.1016\/j.comcom.2024.107937_b24","first-page":"1","article-title":"Deep reinforcement learning for robust VNF reconfigurations in O-RAN","author":"Amiri","year":"2023","journal-title":"IEEE Trans. Netw. Serv. Manag."},{"key":"10.1016\/j.comcom.2024.107937_b25","series-title":"Global 5G connections forcast","author":"5G Americas","year":"2022"},{"issue":"8","key":"10.1016\/j.comcom.2024.107937_b26","doi-asserted-by":"crossref","DOI":"10.3390\/s22083031","article-title":"Deep reinforcement learning for resource management on network slicing: A survey","volume":"22","author":"Hurtado S\u00e1nchez","year":"2022","journal-title":"Sensors"},{"key":"10.1016\/j.comcom.2024.107937_b27","series-title":"5G traffic datasets, IEEE dataport","author":"Choi","year":"2023"},{"issue":"2","key":"10.1016\/j.comcom.2024.107937_b28","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1007\/s10846-017-0731-2","article-title":"Heuristically accelerated reinforcement learning by means of case-based reasoning and transfer learning","volume":"91","author":"Bianchi","year":"2018","journal-title":"J. Intell. Robot. Syst."},{"key":"10.1016\/j.comcom.2024.107937_b29","first-page":"1","article-title":"Model drift in dynamic networks","author":"Manias","year":"2023","journal-title":"IEEE Commun. Mag."},{"issue":"9","key":"10.1016\/j.comcom.2024.107937_b30","doi-asserted-by":"crossref","DOI":"10.3390\/electronics8090981","article-title":"5G ultra-reliable low-latency communication implementation challenges and operational issues with IoT devices","volume":"8","author":"Siddiqi","year":"2019","journal-title":"Electronics"},{"key":"10.1016\/j.comcom.2024.107937_b31","article-title":"O-RAN architecture, interfaces, and standardization: Study and application to user intelligent admission control","volume":"4","author":"Alavirad","year":"2023","journal-title":"Front. Commun. Netw."}],"container-title":["Computer Communications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0140366424002846?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0140366424002846?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,12,27]],"date-time":"2024-12-27T17:33:50Z","timestamp":1735320830000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0140366424002846"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12]]},"references-count":31,"alternative-id":["S0140366424002846"],"URL":"https:\/\/doi.org\/10.1016\/j.comcom.2024.107937","relation":{},"ISSN":["0140-3664"],"issn-type":[{"value":"0140-3664","type":"print"}],"subject":[],"published":{"date-parts":[[2024,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Transfer learning-accelerated network slice management for next generation services","name":"articletitle","label":"Article Title"},{"value":"Computer Communications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.comcom.2024.107937","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The Author(s). Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"107937"}}