{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:27:21Z","timestamp":1772119641600,"version":"3.50.1"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T00:00:00Z","timestamp":1718668800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T00:00:00Z","timestamp":1718668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100003130","name":"Fonds Wetenschappelijk Onderzoek","doi-asserted-by":"publisher","award":["1299323N"],"award-info":[{"award-number":["1299323N"]}],"id":[{"id":"10.13039\/501100003130","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Netw Syst Manage"],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1007\/s10922-024-09835-7","type":"journal-article","created":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T07:02:14Z","timestamp":1718694134000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["A Multiobjective Metaheuristic-Based Container Consolidation Model for Cloud Application Performance Improvement"],"prefix":"10.1007","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0913-6433","authenticated-orcid":false,"given":"Vincent","family":"Bracke","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6276-2057","authenticated-orcid":false,"given":"Jos\u00e9","family":"Santos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2618-3311","authenticated-orcid":false,"given":"Tim","family":"Wauters","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4824-1199","authenticated-orcid":false,"given":"Filip","family":"De Turck","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0575-5894","authenticated-orcid":false,"given":"Bruno","family":"Volckaert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,6,18]]},"reference":[{"issue":"1","key":"9835_CR1","doi-asserted-by":"publisher","first-page":"21","DOI":"10.2478\/acss-2018-0003","volume":"23","author":"VG Silva","year":"2018","unstructured":"Silva, V.G., Kirikova, M., Alksnis, G.: Containers for virtualization: an overview. Appl. Comput. Syst. 23(1), 21\u201327 (2018). https:\/\/doi.org\/10.2478\/acss-2018-0003","journal-title":"Appl. Comput. Syst."},{"key":"9835_CR2","unstructured":"Docker, Inc.: Docker website (2023). https:\/\/www.docker.com"},{"key":"9835_CR3","unstructured":"The Linux Foundation: LXC\/LXD website (2023). https:\/\/linuxcontainers.org"},{"key":"9835_CR4","unstructured":"Red Hat, Inc.: Podman website (2023). https:\/\/podman.io\/"},{"key":"9835_CR5","unstructured":"The Cloud Native Computing Foundation: Containerd website (2023). https:\/\/containerd.io"},{"key":"9835_CR6","unstructured":"The Apache Software Foundation: Mesos website (2023). http:\/\/mesos.apache.org"},{"key":"9835_CR7","unstructured":"Docker, Inc.: Docker Swarm website (2023). https:\/\/docs.docker.com\/engine\/swarm\/"},{"key":"9835_CR8","unstructured":"The Cloud Native Computing Foundation: Kubernetes website (2023). https:\/\/kubernetes.io (2023)"},{"key":"9835_CR9","doi-asserted-by":"publisher","unstructured":"Kalmbach, P., Zerwas, J., Babarczi, P., Blenk, A., Kellerer, W., Schmid, S.: Empowering self-driving networks. In: Proceedings of the Afternoon Workshop on Self-Driving Networks. SelfDN 2018, pp. 8\u201314. Association for Computing Machinery, New York (2018). https:\/\/doi.org\/10.1145\/3229584.3229587","DOI":"10.1145\/3229584.3229587"},{"key":"9835_CR10","doi-asserted-by":"publisher","unstructured":"Bracke, V., Werrebrouck, G., Santos, J.P., Wauters, T., De\u00a0Turck, F., Volckaert, B.: Online dynamic container rescheduling for improved application service time. J. Netw. Syst. Manag. 31(4) (2023) https:\/\/doi.org\/10.1007\/s10922-023-09766-9","DOI":"10.1007\/s10922-023-09766-9"},{"key":"9835_CR11","volume-title":"On the Hamiltonian Game (A Traveling Salesman Problem)","author":"JB Robinson","year":"1949","unstructured":"Robinson, J.B.: On the Hamiltonian Game (A Traveling Salesman Problem). RAND Corporation, Santa Monica (1949)"},{"key":"9835_CR12","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1287\/mnsc.6.1.80","volume":"6","author":"GB Dantzig","year":"1959","unstructured":"Dantzig, G.B., Ramser, J.H.: The truck dispatching problem. Manage. Sci. 6, 80\u201391 (1959). https:\/\/doi.org\/10.1287\/mnsc.6.1.80","journal-title":"Manage. Sci."},{"issue":"2","key":"9835_CR13","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"S Lloyd","year":"1982","unstructured":"Lloyd, S.: Least squares quantization in PCM. IEEE Trans. Inf. Theory 28(2), 129\u2013137 (1982). https:\/\/doi.org\/10.1109\/TIT.1982.1056489","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"6","key":"9835_CR14","doi-asserted-by":"publisher","first-page":"791","DOI":"10.1287\/opre.6.6.791","volume":"6","author":"GA Croes","year":"1958","unstructured":"Croes, G.A.: A method for solving traveling-salesman problems. Oper. Res. 6(6), 791\u2013812 (1958). https:\/\/doi.org\/10.1287\/opre.6.6.791","journal-title":"Oper. Res."},{"key":"9835_CR15","doi-asserted-by":"publisher","unstructured":"Reinelt, G.: The Traveling Salesman: Computational Solutions for TSP Applications, 1st edn. Lecture Notes in Computer Science, vol. 840. Springer, Berlin, Heidelberg (1994) https:\/\/doi.org\/10.1007\/3-540-48661-5","DOI":"10.1007\/3-540-48661-5"},{"key":"9835_CR16","unstructured":"Almeida, R.S.: TSP Essay (2020). https:\/\/github.com\/rsalmei\/tsp-essay. Accessed: 20 Jan 2023"},{"issue":"13","key":"9835_CR17","doi-asserted-by":"publisher","first-page":"1397","DOI":"10.1002\/cpe.1867","volume":"24","author":"A Beloglazov","year":"2012","unstructured":"Beloglazov, A., Buyya, R.: Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers. Concurr. Comput.: Pract. Exper. 24(13), 1397\u20131420 (2012). https:\/\/doi.org\/10.1002\/cpe.1867","journal-title":"Concurr. Comput.: Pract. Exper."},{"key":"9835_CR18","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1016\/j.jss.2018.09.083","volume":"146","author":"T Mahdhi","year":"2018","unstructured":"Mahdhi, T., Mezni, H.: A prediction-based VM consolidation approach in IaaS cloud data centers. J. Syst. Softw. 146, 263\u2013285 (2018). https:\/\/doi.org\/10.1016\/j.jss.2018.09.083","journal-title":"J. Syst. Softw."},{"issue":"5","key":"9835_CR19","doi-asserted-by":"publisher","first-page":"906","DOI":"10.1002\/spe.2680","volume":"49","author":"JV Wang","year":"2019","unstructured":"Wang, J.V., Cheng, C.-T., Tse, C.K.: A thermal-aware VM consolidation mechanism with outage avoidance. Experience 49(5), 906\u2013920 (2019). https:\/\/doi.org\/10.1002\/spe.2680","journal-title":"Experience"},{"issue":"2","key":"9835_CR20","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1109\/TCC.2018.2794344","volume":"8","author":"D Zhao","year":"2020","unstructured":"Zhao, D., Mohamed, M., Ludwig, H.: Locality-aware scheduling for containers in cloud computing. IEEE Trans. Cloud Comput. 8(2), 635\u2013646 (2020). https:\/\/doi.org\/10.1109\/TCC.2018.2794344","journal-title":"IEEE Trans. Cloud Comput."},{"issue":"4","key":"9835_CR21","doi-asserted-by":"publisher","first-page":"2672","DOI":"10.1109\/JIOT.2018.2792940","volume":"5","author":"I-D Filip","year":"2018","unstructured":"Filip, I.-D., Pop, F., Serbanescu, C., Choi, C.: Microservices scheduling model over heterogeneous cloud-edge environments as support for IoT applications. IEEE Internet Things J. 5(4), 2672\u20132681 (2018). https:\/\/doi.org\/10.1109\/JIOT.2018.2792940","journal-title":"IEEE Internet Things J."},{"key":"9835_CR22","doi-asserted-by":"publisher","unstructured":"Nanda, S., Hacker, T.J.: RACC: Resource-aware container consolidation using a deep learning approach. In: Proceedings of the First Workshop on Machine Learning for Computing Systems. MLCS\u201918. Association for Computing Machinery, New York (2018). https:\/\/doi.org\/10.1145\/3217871.3217876","DOI":"10.1145\/3217871.3217876"},{"issue":"1","key":"9835_CR23","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TPDS.2019.2929389","volume":"31","author":"Z Wen","year":"2020","unstructured":"Wen, Z., Lin, T., Yang, R., Ji, S., Ranjan, R., Romanovsky, A., Lin, C., Xu, J.: GA-Par: dependable microservice orchestration framework for geo-distributed clouds. IEEE Trans. Parallel Distrib. Syst. 31(1), 129\u2013143 (2020). https:\/\/doi.org\/10.1109\/TPDS.2019.2929389","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"7","key":"9835_CR24","doi-asserted-by":"publisher","first-page":"2956","DOI":"10.1007\/s11227-018-2345-2","volume":"74","author":"C Guerrero","year":"2018","unstructured":"Guerrero, C., Lera, I., Juiz, C.: Resource optimization of container orchestration: a case study in multi-cloud microservices-based applications. J. Supercomput. 74(7), 2956\u20132983 (2018). https:\/\/doi.org\/10.1007\/s11227-018-2345-2","journal-title":"J. Supercomput."},{"key":"9835_CR25","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/j.cosrev.2018.08.002","volume":"30","author":"LF Bittencourt","year":"2018","unstructured":"Bittencourt, L.F., Goldman, A., Madeira, E.R.M., da Fonseca, N.L.S., Sakellariou, R.: Scheduling in distributed systems: a cloud computing perspective. Comput. Sci. Rev. 30, 31\u201354 (2018). https:\/\/doi.org\/10.1016\/j.cosrev.2018.08.002","journal-title":"Comput. Sci. Rev."},{"key":"9835_CR26","doi-asserted-by":"publisher","DOI":"10.3390\/app12115507","author":"M S\u00f6ylemez","year":"2022","unstructured":"S\u00f6ylemez, M., Tekinerdogan, B., Tarhan, A.K.: Challenges and solution directions of microservice architectures: a systematic literature review. Appl. Sci. (2022). https:\/\/doi.org\/10.3390\/app12115507","journal-title":"Appl. Sci."},{"key":"9835_CR27","doi-asserted-by":"publisher","unstructured":"Santos, J., Wang, C., Wauters, T., Turck, F.D.: Diktyo: network-aware scheduling in container-based clouds. IEEE Transactions on Network and Service Management, 1\u20131 (2023) https:\/\/doi.org\/10.1109\/TNSM.2023.3271415","DOI":"10.1109\/TNSM.2023.3271415"},{"issue":"5","key":"9835_CR28","doi-asserted-by":"publisher","first-page":"1046","DOI":"10.1109\/JSAC.2019.2906745","volume":"37","author":"R Zhou","year":"2019","unstructured":"Zhou, R., Li, Z., Wu, C.: An efficient online placement scheme for cloud container clusters. IEEE J. Sel. Areas Commun. 37(5), 1046\u20131058 (2019). https:\/\/doi.org\/10.1109\/JSAC.2019.2906745","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"9835_CR29","doi-asserted-by":"publisher","unstructured":"Piraghaj, S.F., Dastjerdi, A.V., Calheiros, R.N., Buyya, R.: A framework and algorithm for energy efficient container consolidation in cloud data centers. In: 2015 IEEE International Conference on Data Science and Data Intensive Systems, pp. 368\u2013375 (2015). https:\/\/doi.org\/10.1109\/DSDIS.2015.67","DOI":"10.1109\/DSDIS.2015.67"},{"key":"9835_CR30","doi-asserted-by":"publisher","unstructured":"Rattihalli, G.: Exploring potential for resource request right-sizing via estimation and container migration in Apache Mesos. In: 2018 IEEE\/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion), pp. 59\u201364 (2018). https:\/\/doi.org\/10.1109\/UCC-Companion.2018.00035","DOI":"10.1109\/UCC-Companion.2018.00035"},{"key":"9835_CR31","doi-asserted-by":"publisher","unstructured":"Bulej, L., Bure\u0161, T., Hn\u011btynka, P., Khalyeyev, D.: Self-adaptive K8S cloud controller for time-sensitive applications. In: 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), pp. 166\u2013169 (2021). https:\/\/doi.org\/10.1109\/SEAA53835.2021.00029","DOI":"10.1109\/SEAA53835.2021.00029"},{"key":"9835_CR32","doi-asserted-by":"publisher","unstructured":"Rodriguez, M., Buyya, R.: Container orchestration with cost-efficient autoscaling in cloud computing environments. In: Handbook of Research on Multimedia Cyber Security, pp. 190\u2013213 (2020). https:\/\/doi.org\/10.4018\/978-1-7998-2701-6.ch010","DOI":"10.4018\/978-1-7998-2701-6.ch010"},{"key":"9835_CR33","doi-asserted-by":"publisher","unstructured":"Wojciechowski, L., Opasiak, K., Latusek, J., Wereski, M., Morales, V., Kim, T., Hong, M.: NetMARKS: network metrics-aware Kubernetes Scheduler powered by service mesh. In: IEEE INFOCOM 2021\u2014IEEE Conference on Computer Communications, pp. 1\u20139 (2021). https:\/\/doi.org\/10.1109\/INFOCOM42981.2021.9488670","DOI":"10.1109\/INFOCOM42981.2021.9488670"},{"key":"9835_CR34","doi-asserted-by":"publisher","unstructured":"Marchese, A., Tomarchio, O.: Network-aware container placement in cloud-edge kubernetes clusters. In: 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), pp. 859\u2013865 (2022). https:\/\/doi.org\/10.1109\/CCGrid54584.2022.00102","DOI":"10.1109\/CCGrid54584.2022.00102"},{"issue":"17","key":"9835_CR35","doi-asserted-by":"publisher","first-page":"6290","DOI":"10.1002\/cpe.6290","volume":"33","author":"CT Joseph","year":"2021","unstructured":"Joseph, C.T., Chandrasekaran, K.: Nature-inspired resource management and dynamic rescheduling of microservices in Cloud datacenters. Concurrency Comput.: Practice Exp. 33(17), 6290 (2021). https:\/\/doi.org\/10.1002\/cpe.6290","journal-title":"Concurrency Comput.: Practice Exp."},{"key":"9835_CR36","doi-asserted-by":"publisher","unstructured":"Podzimek, A., Chen, L.Y.: Transforming system load to throughput for consolidated applications. In: 2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems, pp. 288\u2013292 (2013). https:\/\/doi.org\/10.1109\/MASCOTS.2013.37","DOI":"10.1109\/MASCOTS.2013.37"},{"key":"9835_CR37","doi-asserted-by":"publisher","unstructured":"Arora, J.S.: Chapter 18\u2014Multi-objective optimum design concepts and methods. In: Arora, J.S. (ed.) Introduction to Optimum Design, 4th edn., pp. 771\u2013794. Academic Press, Boston (2017). https:\/\/doi.org\/10.1016\/B978-0-12-800806-5.00018-4","DOI":"10.1016\/B978-0-12-800806-5.00018-4"},{"key":"9835_CR38","doi-asserted-by":"publisher","unstructured":"Caramia, M., Dell\u2019Olmo, P.: Multi-objective optimization. In: Multi-objective management in freight logistics: increasing capacity, service level, sustainability, and safety with optimization algorithms, pp. 21\u201351. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-50812-8_2","DOI":"10.1007\/978-3-030-50812-8_2"},{"key":"9835_CR39","unstructured":"Grodzevich, O., Romanko, O.: Normalization and other topics in multi-objective optimization. In: Proceedings of the fields-MITACS Industrial Problems Workshop (2006)"},{"key":"9835_CR40","doi-asserted-by":"publisher","unstructured":"Emmerich, M., Deutz, A.: A tutorial on multiobjective optimization: fundamentals and evolutionary methods. Natural Comput. 17 (2018) https:\/\/doi.org\/10.1007\/s11047-018-9685-y","DOI":"10.1007\/s11047-018-9685-y"},{"key":"9835_CR41","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S Kirkpatrick","year":"1983","unstructured":"Kirkpatrick, S., Gelatt, C., Vecchi, M.: Optimization by simulated annealing. Science 220, 671\u2013680 (1983). https:\/\/doi.org\/10.1126\/science.220.4598.671","journal-title":"Science"},{"key":"9835_CR42","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/BF00940812","volume":"45","author":"V Cerny","year":"1985","unstructured":"Cerny, V.: Thermodynamical approach to the traveling salesman problem: an efficient simulation algorithm. J. Optim. Theory Appl. 45, 41\u201351 (1985). https:\/\/doi.org\/10.1007\/BF00940812","journal-title":"J. Optim. Theory Appl."},{"issue":"1","key":"9835_CR43","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/0305-0483(94)90006-X","volume":"22","author":"C Koulamas","year":"1994","unstructured":"Koulamas, C., Antony, S., Jaen, R.: A survey of simulated annealing applications to operations research problems. Omega 22(1), 41\u201356 (1994). https:\/\/doi.org\/10.1016\/0305-0483(94)90006-X","journal-title":"Omega"},{"issue":"1","key":"9835_CR44","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/0377-2217(90)90301-Q","volume":"46","author":"DT Connolly","year":"1990","unstructured":"Connolly, D.T.: An improved annealing scheme for the QAP. Eur. J. Oper. Res. 46(1), 93\u2013100 (1990). https:\/\/doi.org\/10.1016\/0377-2217(90)90301-Q","journal-title":"Eur. J. Oper. Res."},{"key":"9835_CR45","doi-asserted-by":"publisher","unstructured":"Fidanova, S.: Simulated annealing for grid scheduling problem. In: IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing (JVA\u201906), pp. 41\u201345 (2006). https:\/\/doi.org\/10.1109\/JVA.2006.44","DOI":"10.1109\/JVA.2006.44"},{"key":"9835_CR46","unstructured":"Ellison\u00a0Geltman, K.: The simulated annealing algorithm. http:\/\/katrinaeg.com\/simulated-annealing.html (2014)"},{"key":"9835_CR47","unstructured":"Flexera: 2023 state of the cloud report (2023). https:\/\/info.flexera.com\/CM-REPORT-State-of-the-Cloud"},{"key":"9835_CR48","unstructured":"Kubernetes SIGs.: Kubernetes concepts (2023). https:\/\/kubernetes.io\/docs\/concepts\/. Accessed: 22 June 2023"},{"key":"9835_CR49","doi-asserted-by":"publisher","unstructured":"Santos, J., Wauters, T., Volckaert, B., De\u00a0Turck, F.: Towards network-aware resource provisioning in Kubernetes for fog computing applications. In: 2019 IEEE Conference on Network Softwarization (NetSoft), pp. 351\u2013359 (2019). https:\/\/doi.org\/10.1109\/NETSOFT.2019.8806671","DOI":"10.1109\/NETSOFT.2019.8806671"},{"key":"9835_CR50","unstructured":"Kubernetes SIGs: Descheduler for Kubernetes (2023). https:\/\/github.com\/kubernetes-sigs\/descheduler. Accessed: 15 June 2023"},{"key":"9835_CR51","unstructured":"pixielabs.ai: pixie overview (2023). https:\/\/docs.pixielabs.ai\/about-pixie\/what-is-pixie. Accessed: 6 Oct 2023"},{"key":"9835_CR52","unstructured":"google.com: GoogleCloudPlatform microservices-demo: Online Boutique (2023). https:\/\/github.com\/GoogleCloudPlatform\/microservices-demo. Accessed: 10 Oct 2023"},{"issue":"7","key":"9835_CR53","doi-asserted-by":"publisher","first-page":"1557","DOI":"10.1002\/spe.2973","volume":"51","author":"V Bracke","year":"2021","unstructured":"Bracke, V., Sebrechts, M., Moons, B., Hoebeke, J., De Turck, F., Volckaert, B.: Design and evaluation of a scalable Internet of Things backend for smart ports. Software: Practice Exp. 51(7), 1557\u20131579 (2021). https:\/\/doi.org\/10.1002\/spe.2973","journal-title":"Software: Practice Exp."},{"key":"9835_CR54","unstructured":"Yellin, N.: For the love of god, stop using CPU limits on Kubernetes (updated) (2022). https:\/\/home.robusta.dev\/blog\/stop-using-cpu-limits. Accessed 10 August 2023"}],"container-title":["Journal of Network and Systems Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10922-024-09835-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10922-024-09835-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10922-024-09835-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,2]],"date-time":"2024-08-02T09:23:59Z","timestamp":1722590639000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10922-024-09835-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,18]]},"references-count":54,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,7]]}},"alternative-id":["9835"],"URL":"https:\/\/doi.org\/10.1007\/s10922-024-09835-7","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-3755486\/v1","asserted-by":"object"}]},"ISSN":["1064-7570","1573-7705"],"issn-type":[{"value":"1064-7570","type":"print"},{"value":"1573-7705","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,18]]},"assertion":[{"value":"14 December 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 May 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 May 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 June 2024","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Filip De Turck, a listed author, is member of the editorial advisory board of this Journal. The authors declare that they have no other Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical Approval"}}],"article-number":"61"}}