{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T16:08:41Z","timestamp":1759939721740},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,8,14]],"date-time":"2019-08-14T00:00:00Z","timestamp":1565740800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,8,14]],"date-time":"2019-08-14T00:00:00Z","timestamp":1565740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Pers Ubiquit Comput"],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1007\/s00779-019-01277-2","type":"journal-article","created":{"date-parts":[[2019,8,14]],"date-time":"2019-08-14T04:48:44Z","timestamp":1565758124000},"page":"571-586","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Dynamic resource allocation algorithm of virtual networks in edge computing networks"],"prefix":"10.1007","volume":"25","author":[{"given":"Xiancui","family":"Xiao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangwei","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tian","family":"Jie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,8,14]]},"reference":[{"issue":"4","key":"1277_CR1","doi-asserted-by":"publisher","first-page":"2456","DOI":"10.1109\/COMST.2017.2736886","volume":"19","author":"A Gharaibeh","year":"2017","unstructured":"Gharaibeh A, Salahuddin MA, Hussini SJ (2017) Smart cities: a survey on data management, security, and enabling technologies. IEEE Commun Surv Tutorials 19(4):2456\u20132501","journal-title":"IEEE Commun Surv Tutorials"},{"key":"1277_CR2","doi-asserted-by":"publisher","first-page":"17117","DOI":"10.1109\/ACCESS.2017.2734917","volume":"5","author":"A Li","year":"2017","unstructured":"Li A, Ye X, Ning H (2017) Thing relation modeling in the internet of things. IEEE Access 5:17117\u201317125","journal-title":"IEEE Access"},{"issue":"1","key":"1277_CR3","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1109\/MCOM.2018.1700563","volume":"57","author":"Q Du","year":"2019","unstructured":"Du Q, Song H, Zhu X (2019) Social-feature enabled communications among devices toward the smart IoT community. IEEE Commun Mag 57(1):130\u2013137","journal-title":"IEEE Commun Mag"},{"issue":"5","key":"1277_CR4","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1109\/JIOT.2016.2579198","volume":"3","author":"W Shi","year":"2016","unstructured":"Shi W, Cao J, Zhang Q (2016) Edge computing: vision and challenges. IEEE Internet Things J 3 (5):637\u2013646","journal-title":"IEEE Internet Things J"},{"issue":"1","key":"1277_CR5","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2017.9","volume":"50","author":"M Satyanarayanan","year":"2017","unstructured":"Satyanarayanan M (2017) The emergence of edge computing. Computer 50(1):30\u201339","journal-title":"Computer"},{"issue":"5","key":"1277_CR6","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1109\/MC.2016.145","volume":"49","author":"W Shi","year":"2016","unstructured":"Shi W, Dustdar S (2016) The promise of edge computing. Computer 49(5):78\u201381","journal-title":"Computer"},{"issue":"6","key":"1277_CR7","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1109\/MNET.2014.6963800","volume":"28","author":"H Hawilo","year":"2014","unstructured":"Hawilo H, Shami A, Mirahmadi M (2014) NFV: State of the art, challenges, and implementation in next generation mobile networks (vEPC). IEEE Netw 28(6):18\u201326","journal-title":"IEEE Netw"},{"key":"1277_CR8","doi-asserted-by":"crossref","unstructured":"Alcober s J, Hesselbach X, de la Oliva A (2013) Internet future architectures for network and media independent services and protocols[C]. In: 2013 15th International Conference on Transparent Optical Networks (ICTON), pp 1\u20134","DOI":"10.1109\/ICTON.2013.6602680"},{"issue":"4","key":"1277_CR9","doi-asserted-by":"publisher","first-page":"1011","DOI":"10.1016\/j.comnet.2010.12.011","volume":"55","author":"I Houidi","year":"2011","unstructured":"Houidi I, Louati W, Ameur WB (2011) Virtual network provisioning across multiple substrate networks[J]. Comput Netw 55(4):1011\u20131023","journal-title":"Comput Netw"},{"issue":"2","key":"1277_CR10","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1145\/1971162.1971168","volume":"41","author":"X Cheng","year":"2011","unstructured":"Cheng X, Su S, Zhang Z, et al. (2011) Virtual network embedding through topology-aware node ranking. ACM SIGCOMM Computer Communication Review 41(2):38\u201347","journal-title":"ACM SIGCOMM Computer Communication Review"},{"key":"1277_CR11","doi-asserted-by":"publisher","DOI":"10.1002\/0471781819","volume-title":"Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches, vol 48","author":"JA Farrell","year":"2006","unstructured":"Farrell JA, Polycarpou MM (2006) Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches, vol 48. Wiley, Hoboken"},{"issue":"1","key":"1277_CR12","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1109\/TIE.2006.888790","volume":"54","author":"JF Martins","year":"2007","unstructured":"Martins JF, Pires VF, Pires AJ (2007) Unsupervised neural-network-based algorithm for an on-line diagnosis of three-phase induction motor stator fault. IEEE Trans Ind Electron 54(1):259\u2013264","journal-title":"IEEE Trans Ind Electron"},{"issue":"5","key":"1277_CR13","doi-asserted-by":"publisher","first-page":"3606","DOI":"10.1109\/JIOT.2018.2823498","volume":"5","author":"Z Zhao","year":"2018","unstructured":"Zhao Z, Min G, Gao W (2018) Deploying edge computing nodes for large-scale iot: A diversity aware approach[J]. IEEE Internet Things J 5(5):3606\u20133614","journal-title":"IEEE Internet Things J"},{"key":"1277_CR14","doi-asserted-by":"crossref","unstructured":"Lischka J, Karl H (2009) A virtual network mapping algorithm based on subgraph isomorphism detection[C]. In: Proceedings of the 1st ACM workshop on Virtualized infrastructure systems and architectures. ACM 2009: pp 81\u201388","DOI":"10.1145\/1592648.1592662"},{"key":"1277_CR15","doi-asserted-by":"crossref","unstructured":"Chowdhury NMMK, Rahman MR, Boutaba R (2009) Virtual network embedding with coordinated node and link mapping[C]\/\/IEEE INFOCOM 783-791","DOI":"10.1109\/INFCOM.2009.5061987"},{"issue":"3","key":"1277_CR16","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1504\/IJCNDS.2011.039533","volume":"6","author":"M Fiedler","year":"2011","unstructured":"Fiedler M (2011) On resource sharing and careful overbooking for network virtualisation. International Journal of Communication Networks and Distributed Systems 6(3):232\u2013248","journal-title":"International Journal of Communication Networks and Distributed Systems"},{"key":"1277_CR17","first-page":"5523","volume":"2012","author":"D Hoeflin","year":"2012","unstructured":"Hoeflin D, Reeser P (2012) Quantifying the performance impact of overbooking virtualized resources. 2012 IEEE International Conference on Communications 2012:5523\u20135527","journal-title":"2012 IEEE International Conference on Communications"},{"issue":"3","key":"1277_CR18","doi-asserted-by":"publisher","first-page":"816","DOI":"10.1109\/TPDS.2013.64","volume":"25","author":"S Zhang","year":"2014","unstructured":"Zhang S, Qian Z, Wu J, Lu S, Epstein L (2014) Virtual network embedding with opportunistic resource sharing. IEEE Trans Parallel Distrib Syst 25(3):816\u2013827","journal-title":"IEEE Trans Parallel Distrib Syst"},{"issue":"2","key":"1277_CR19","doi-asserted-by":"publisher","first-page":"246","DOI":"10.1162\/neco.1991.3.2.246","volume":"3","author":"J Park","year":"1991","unstructured":"Park J, Sandberg IW (1991) Universal approximation using radial-basis-function networks. Neural Comput 3(2):246\u2013257","journal-title":"Neural Comput"},{"issue":"3","key":"1277_CR20","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1007\/s00521-016-2496-0","volume":"29","author":"AN Ahmed","year":"2018","unstructured":"Ahmed AN, Noor CWM, Allawi MF, et al. (2018) RBF-NN-Based model for prediction of weld bead geometry in Shielded Metal Arc Welding (SMAW). Neural Comput Applic 29(3):889\u2013 899","journal-title":"Neural Comput Applic"},{"issue":"12","key":"1277_CR21","doi-asserted-by":"publisher","first-page":"5438","DOI":"10.1109\/TIE.2011.2164773","volume":"58","author":"H Yu","year":"2011","unstructured":"Yu H, Xie T, Paszczynski S, Wilamowski BM (2011) Advantages of radial basis function networks for dynamic system design. IEEE Trans Ind Electron 58(12):5438\u20135450","journal-title":"IEEE Trans Ind Electron"},{"issue":"5","key":"1277_CR22","doi-asserted-by":"publisher","first-page":"872","DOI":"10.1109\/TNN.2009.2015078","volume":"20","author":"S Huang","year":"2009","unstructured":"Huang S, Tan KK (2009) Fault detection and diagnosis based on modeling and estimation methods. IEEE Trans Neural Netw 20(5):872\u2013881","journal-title":"IEEE Trans Neural Netw"},{"issue":"3","key":"1277_CR23","doi-asserted-by":"publisher","first-page":"1350","DOI":"10.1109\/TPWRS.2010.2040491","volume":"25","author":"K Meng","year":"2010","unstructured":"Meng K, Dong ZY, Wang DH, Wong KP (2010) A self-adaptive RBF neural network classifier for transformer fault analysis. IEEE Trans Power Syst 25(3):1350\u20131360","journal-title":"IEEE Trans Power Syst"},{"issue":"6","key":"1277_CR24","doi-asserted-by":"publisher","first-page":"1757","DOI":"10.1007\/s00521-016-2779-5","volume":"30","author":"M Awad","year":"2018","unstructured":"Awad M, Qasrawi I (2018) Enhanced RBF neural network model for time series prediction of solar cells panel depending on climate conditions (temperature and irradiance). Neural Comput Applic 30(6):1757\u20131768","journal-title":"Neural Comput Applic"},{"issue":"6","key":"1277_CR25","doi-asserted-by":"publisher","first-page":"1939","DOI":"10.1007\/s00521-016-2715-8","volume":"30","author":"T Li","year":"2018","unstructured":"Li T, Duan S, Liu J, Wang L (2018) An improved design of RBF neural network control algorithm based on spintronic memristor crossbar array. Neural Comput Applic 30(6):1939\u20131946","journal-title":"Neural Comput Applic"},{"issue":"4","key":"1277_CR26","doi-asserted-by":"publisher","first-page":"1039","DOI":"10.1007\/s00521-016-2735-4","volume":"30","author":"F Zhou","year":"2018","unstructured":"Zhou F, Peng H, Ruan W, Wang D, Liu M, Gu Y, Li L (2018) Cubic-RBF-ARX modeling and model-based optimal setting control in head and tail stages of cut tobacco drying process. Neural Comput Applic 30(4):1039\u20131053","journal-title":"Neural Comput Applic"},{"issue":"1","key":"1277_CR27","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1109\/72.478403","volume":"7","author":"ES Chng","year":"1996","unstructured":"Chng ES, Chen S, Mulgrew B (1996) Gradient radial basis function networks for nonlinear and nonstationary time series prediction. IEEE Trans Neural Netw 7(1):190\u2013194","journal-title":"IEEE Trans Neural Netw"},{"issue":"3","key":"1277_CR28","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1109\/72.761725","volume":"10","author":"NB Karayiannis","year":"1999","unstructured":"Karayiannis NB (1999) Reformulated radial basis neural networks trained by gradient descent. IEEE Trans Neural Netw 10(3):657\u2013671","journal-title":"IEEE Trans Neural Netw"},{"issue":"11","key":"1277_CR29","doi-asserted-by":"publisher","first-page":"1785","DOI":"10.1109\/TNNLS.2013.2264292","volume":"24","author":"L Zhang","year":"2013","unstructured":"Zhang L, Li K, He H, Irwin GW (2013) A new discrete-continuous algorithm for radial basis function networks construction. IEEE transactions on Neural Networks and Learning Systems 24(11):1785\u20131798","journal-title":"IEEE transactions on Neural Networks and Learning Systems"},{"issue":"11","key":"1277_CR30","doi-asserted-by":"publisher","first-page":"2929","DOI":"10.1109\/TAC.2013.2258782","volume":"58","author":"L Zhang","year":"2013","unstructured":"Zhang L, Li K, Bai EW (2013) A new extension of newton algorithm for nonlinear system modelling using RBF neural networks. IEEE Trans Autom Control 58(11):2929\u20132933","journal-title":"IEEE Trans Autom Control"},{"key":"1277_CR31","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1016\/j.neucom.2012.07.023","volume":"99","author":"HG Han","year":"2013","unstructured":"Han HG, Qiao JF (2013) A structure optimisation algorithm for feedforward neural network construction. Neurocomputing 99:347\u2013357","journal-title":"Neurocomputing"},{"key":"1277_CR32","doi-asserted-by":"publisher","first-page":"349","DOI":"10.1016\/j.neucom.2014.05.082","volume":"150","author":"P Reiner","year":"2015","unstructured":"Reiner P, Wilamowski BM (2015) Efficient incremental construction of RBF networks using quasi-gradient method. Neurocomputing 150:349\u2013356","journal-title":"Neurocomputing"},{"issue":"4","key":"1277_CR33","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1109\/TNNLS.2012.2185059","volume":"23","author":"T Xie","year":"2012","unstructured":"Xie T, Yu H, Hewlett J, Rozycki P, Wilamowski B (2012) Fast and efficient second-order method for training radial basis function networks. IEEE Transactions on Neural Networks and Learning Systems 23(4):609\u2013619","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"issue":"4","key":"1277_CR34","doi-asserted-by":"publisher","first-page":"766","DOI":"10.1109\/TNNLS.2017.2650865","volume":"29","author":"AO Hoori","year":"2018","unstructured":"Hoori AO, Motai Y (2018) Multicolumn RBF network. IEEE Transactions on Neural Networks and Learning Systems 29(4):766\u2013778","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"issue":"2","key":"1277_CR35","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1109\/72.80341","volume":"2","author":"S Chen","year":"1991","unstructured":"Chen S, Cowan CF, Grant PM (1991) Orthogonal least squares learning algorithm for radial basis function networks. IEEE Trans Neural Netw 2(2):302\u2013309","journal-title":"IEEE Trans Neural Netw"},{"issue":"6","key":"1277_CR36","doi-asserted-by":"publisher","first-page":"2284","DOI":"10.1109\/TSMCB.2004.834428","volume":"34","author":"GB Huang","year":"2004","unstructured":"Huang GB, Saratchandran P, Sundararajan N (2004) An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks. IEEE Trans Syst Man Cybern B Cybern 34(6):2284\u20132292","journal-title":"IEEE Trans Syst Man Cybern B Cybern"},{"issue":"10","key":"1277_CR37","doi-asserted-by":"publisher","first-page":"1793","DOI":"10.1109\/TNNLS.2013.2295813","volume":"25","author":"H Yu","year":"2014","unstructured":"Yu H, Reiner PD, Xie T, Bartczak T, Wilamowski BM (2014) An incremental design of radial basis function networks. IEEE Transactions on Neural Networks and Learning Systems 25(10):1793\u20131803","journal-title":"IEEE Transactions on Neural Networks and Learning Systems"},{"issue":"6","key":"1277_CR38","doi-asserted-by":"publisher","first-page":"930","DOI":"10.1109\/TNN.2010.2045657","volume":"21","author":"BM Wilamowski","year":"2010","unstructured":"Wilamowski BM, Yu H (2010) Improved computation for levenberg\u201dCMarquardt training. IEEE Trans Neural Netw 21(6):930\u2013937","journal-title":"IEEE Trans Neural Netw"},{"issue":"5","key":"1277_CR39","doi-asserted-by":"publisher","first-page":"1445","DOI":"10.1007\/s00521-016-2669-x","volume":"29","author":"L Gu","year":"2018","unstructured":"Gu L, Tok DS, Yu DL (2018) Development of adaptive p-step RBF network model with recursive orthogonal least squares training. Neural Comput Applic 29(5):1445\u20131454","journal-title":"Neural Comput Applic"},{"issue":"3","key":"1277_CR40","doi-asserted-by":"publisher","first-page":"241","DOI":"10.3233\/JHS-160546","volume":"22","author":"XC Xiaon","year":"2016","unstructured":"Xiaon XC, Zheng XW (2016) A proposal of survivable virtual network embedding algorithm. Journal of High Speed Networks 22(3):241\u2013251","journal-title":"Journal of High Speed Networks"},{"key":"1277_CR41","unstructured":"Internet user behavior data sets named << 2016 China Mobile Internet User Analysis>> from the website http:\/\/www.199it.com\/archives\/434375.html"},{"key":"1277_CR42","unstructured":"User Mobile Internet Behavior data sets named << 2018 China Mobile Internet User Behavior Insight Report>> from the website http:\/\/www.199it.com\/archives\/758197.html"}],"container-title":["Personal and Ubiquitous Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-019-01277-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00779-019-01277-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00779-019-01277-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,6,29]],"date-time":"2021-06-29T10:08:50Z","timestamp":1624961330000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00779-019-01277-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,14]]},"references-count":42,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2021,6]]}},"alternative-id":["1277"],"URL":"https:\/\/doi.org\/10.1007\/s00779-019-01277-2","relation":{},"ISSN":["1617-4909","1617-4917"],"issn-type":[{"value":"1617-4909","type":"print"},{"value":"1617-4917","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,8,14]]},"assertion":[{"value":"13 November 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 July 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 August 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"There is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Conflict of interest"}}]}}