{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T12:21:40Z","timestamp":1778070100262,"version":"3.51.4"},"reference-count":76,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,1]],"date-time":"2022-12-01T00:00:00Z","timestamp":1669852800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001665","name":"ANR CANCAN project","doi-asserted-by":"publisher","award":["ANR-18-CE25-0011"],"award-info":[{"award-number":["ANR-18-CE25-0011"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010661","name":"H2020 AI@EDGE project","doi-asserted-by":"publisher","award":["101015922"],"award-info":[{"award-number":["101015922"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Netw. Serv. Manage."],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1109\/tnsm.2022.3161872","type":"journal-article","created":{"date-parts":[[2022,3,24]],"date-time":"2022-03-24T21:33:19Z","timestamp":1648157599000},"page":"4434-4448","source":"Crossref","is-referenced-by-count":13,"title":["An AI-Empowered Framework for Cross-Layer Softwarized Infrastructure State Assessment"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2366-7778","authenticated-orcid":false,"given":"Alessio","family":"Diamanti","sequence":"first","affiliation":[{"name":"Orange Labs, Orange Innovation, Ch&#x00E2;tillon, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5233-6214","authenticated-orcid":false,"given":"Jose Manuel Sanchez","family":"Vilchez","sequence":"additional","affiliation":[{"name":"Orange Labs, Orange Innovation, Ch&#x00E2;tillon, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6129-0676","authenticated-orcid":false,"given":"Stefano","family":"Secci","sequence":"additional","affiliation":[{"name":"CEDRIC, CNAM, Paris, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ITC3249928.2020.00012"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2011.6094010"},{"key":"ref3","volume-title":"A reference model for autonomic networking","author":"Behringer","year":"2018"},{"key":"ref4","first-page":"709","article-title":"Network slice life-cycle management towards automation","volume-title":"Proc. IFIP\/IEEE Symp. Integr. Netw. Service Manag.","author":"Boubendir"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICIN48450.2020.9059507"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/863955.863957"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/9780470515143"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2009.01.002"},{"key":"ref9","volume-title":"Syrroca Github Metrics Repository","author":"Diamanti","year":"2021"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2007.4444749"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.17487\/rfc7426"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2015.2477041"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2021.108288"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2859449"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2018.2848105"},{"key":"ref16","article-title":"Security and performance comparison of onos and odl controllers","author":"Secci","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2016.2521761"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2010.03.005"},{"key":"ref19","article-title":"A framework to quantify network resilience and survivability","author":"Jabbar","year":"2010"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/RNDM.2015.7325224"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/12.45203"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/582128.582152"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/NETSOFT.2018.8460047"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1824766.1824773"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/qre.392"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.3233\/JCS-2002-101-205"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CNMT.2009.5374676"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1254882.1254895"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/RAIT.2016.7507933"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.5120\/7470-0475"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-30507-8_13"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/INFCOM.2009.5062248"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1126\/science.1127647"},{"key":"ref35","article-title":"Variational autoencoder based anomaly detection using reconstruction probability","author":"An","year":"2015"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/2689746.2689747"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00179"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3088326"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.08.076"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/NFV-SDN.2016.7919492"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098052"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/11494669_93"},{"issue":"1","key":"ref43","doi-asserted-by":"crossref","first-page":"321","DOI":"10.4086\/toc.2012.v008a014","article-title":"Approximate nearest neighbor: Towards removing the curse of dimensionality","volume":"8","author":"Har-Peled","year":"2012","journal-title":"Theory Comput."},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1968.1054102"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1038\/323533a0"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/72.279181"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref48","first-page":"89","article-title":"Long short term memory networks for anomaly detection in time series","volume-title":"Proc. 23rd Eur. Symp. Artif. Neural Netw. Comput. Intell. Mach. Learn.","author":"Malhotra"},{"key":"ref49","article-title":"Deep bidirectional and unidirectional LSTM recurrent neural network for network-wide traffic speed prediction","author":"Cui","year":"2018","journal-title":"arXiv:1801.02143"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1049\/iet-its.2016.0208"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2015.03.014"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1145\/3291533.3291540"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2018.1800104"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1214\/ss\/1076102425"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9892.2007.00537.x"},{"key":"ref56","volume-title":"Time Series Analysis","author":"Wei","year":"2006"},{"key":"ref57","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.3354\/cr030079"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2006.03.001"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-7-1247-2014"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/s10182-013-0216-y"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4020-5542-3_2"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/ccnc08.2007.227"},{"key":"ref64","volume-title":"Openimscore","year":"2021"},{"key":"ref65","volume-title":"Sipp","year":"2021"},{"key":"ref66","volume-title":"Nodeexporter","year":"2021"},{"key":"ref67","volume-title":"Cadvisor","year":"2021"},{"key":"ref68","first-page":"20","article-title":"Surprising patterns for the call duration distribution of mobile phone users","volume-title":"Proc. Mach. Learn. Knowl. Disc. Databases Eur. Conf.","author":"De Melo"},{"key":"ref69","volume-title":"Syrroca Github Algorithms Repository","year":"2022"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1080\/14786440009463897"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.2307\/1402731"},{"key":"ref72","article-title":"Improving neural networks by preventing co-adaptation of feature detectors","author":"Hinton","year":"2012","journal-title":"arXiv:1207.0580"},{"issue":"1","key":"ref73","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref74","volume-title":"Deep Learning for Time Series Forecasting: Predict the Future With MLPs, CNNs and LSTMs in Python: Machine Learning Mastery","author":"Brownlee","year":"2018"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2947676"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/6516253"}],"container-title":["IEEE Transactions on Network and Service Management"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/4275028\/10034788\/09741309.pdf?arnumber=9741309","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:37:34Z","timestamp":1705538254000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9741309\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12]]},"references-count":76,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tnsm.2022.3161872","relation":{},"ISSN":["1932-4537","2373-7379"],"issn-type":[{"value":"1932-4537","type":"electronic"},{"value":"2373-7379","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,12]]}}}