{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T19:11:07Z","timestamp":1768590667653,"version":"3.49.0"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T00:00:00Z","timestamp":1691971200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T00:00:00Z","timestamp":1691971200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1007\/s10586-023-04118-3","type":"journal-article","created":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T03:08:05Z","timestamp":1691982485000},"page":"2805-2827","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["An efficient firefly and honeybee based load balancing mechanism in cloud infrastructure"],"prefix":"10.1007","volume":"27","author":[{"given":"Ankita","family":"Srivastava","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Narander","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,8,14]]},"reference":[{"issue":"9","key":"4118_CR1","first-page":"909","volume":"14","author":"A Srivastava","year":"2020","unstructured":"Srivastava, A., Kumar, N.: Resource management techniques in cloud computing: a state of art. ICIC Express Lett. 14(9), 909\u2013916 (2020)","journal-title":"ICIC Express Lett."},{"key":"4118_CR2","volume-title":"Final Version of NIST Cloud Computing Definition Published","author":"E Brown","year":"2017","unstructured":"Brown, E., Swenson, G.: Final Version of NIST Cloud Computing Definition Published. NIST, Gaithersburg (2017)"},{"key":"4118_CR3","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1016\/j.procs.2016.05.278","volume":"85","author":"P Pradhan","year":"2016","unstructured":"Pradhan, P., Behera, P.K., Ray, B.N.B.: Modified round robin algorithm for resource allocation in cloud computing. Procedia Comput Sci 85, 878\u2013890 (2016). https:\/\/doi.org\/10.1016\/j.procs.2016.05.278","journal-title":"Procedia Comput Sci"},{"issue":"1","key":"4118_CR4","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s41870-022-01148-9","volume":"15","author":"A Srivastava","year":"2023","unstructured":"Srivastava, A., Kumar, N.: An energy efficient robust resource provisioning based on improved PSO-ANN. Int. J. Inf. Technol. 15(1), 107\u2013117 (2023). https:\/\/doi.org\/10.1007\/s41870-022-01148-9","journal-title":"Int. J. Inf. Technol."},{"issue":"2","key":"4118_CR5","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1016\/j.jksuci.2018.01.003","volume":"32","author":"SK Mishra","year":"2020","unstructured":"Mishra, S.K., Sahoo, B., Parida, P.P.: Load balancing in cloud computing: a big picture. J. King Saud Univ.-Comput. Inf. Sci. 32(2), 149\u2013158 (2020). https:\/\/doi.org\/10.1016\/j.jksuci.2018.01.003","journal-title":"J. King Saud Univ.-Comput. Inf. Sci."},{"key":"4118_CR6","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.compeleceng.2015.08.016","volume":"47","author":"D Magalh\u00e3es","year":"2015","unstructured":"Magalh\u00e3es, D., Calheiros, R.N., Buyya, R., Gomes, D.G.: Workload modelling for resource usage analysis and simulation in cloud computing. Comput. Electr. Eng. 47, 69\u201381 (2015). https:\/\/doi.org\/10.1016\/j.compeleceng.2015.08.016","journal-title":"Comput. Electr. Eng."},{"key":"4118_CR7","doi-asserted-by":"publisher","unstructured":"Deepa, T., Cheelu, D.: A comparative study of static and dynamic load balancing algorithms in cloud computing. In: 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), pp. 3375\u20133378 (2017). https:\/\/doi.org\/10.1109\/ICECDS.2017.8390086","DOI":"10.1109\/ICECDS.2017.8390086"},{"key":"4118_CR8","unstructured":"Hamadah, S.: A survey: a comprehensive study of static, dynamic and hybrid load balancing algorithms. In: International Journal of Computer Science and Information Technology & Security (IJCSITS), pp. 2249\u20139555 (2017)."},{"issue":"1","key":"4118_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/IJSIR.317111","volume":"14","author":"A Srivastava","year":"2023","unstructured":"Srivastava, A., Kumar, N.: Multi-objective binary whale optimization-based virtual machine allocation in cloud environments. Int. J. Swarm Intell. Res. 14(1), 1\u201323 (2023). https:\/\/doi.org\/10.4018\/IJSIR.317111","journal-title":"Int. J. Swarm Intell. Res."},{"issue":"2","key":"4118_CR10","doi-asserted-by":"publisher","first-page":"301","DOI":"10.1109\/TEVC.2013.2240304","volume":"18","author":"MK Marichelvam","year":"2013","unstructured":"Marichelvam, M.K., Prabaharan, T., Yang, X.S.: A discrete firefly algorithm for the multi-objective hybrid flowshop scheduling problems. IEEE Trans. Evol. Comput. 18(2), 301\u2013305 (2013). https:\/\/doi.org\/10.1109\/TEVC.2013.2240304","journal-title":"IEEE Trans. Evol. Comput."},{"issue":"2","key":"4118_CR11","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1007\/s002650050522","volume":"44","author":"H de Vries","year":"1998","unstructured":"de Vries, H., Biesmeijer, J.C.: Modelling collective foraging by means of individual behaviour rules in honey-bees. Behav. Ecol. Sociobiol. 44(2), 109\u2013124 (1998). https:\/\/doi.org\/10.1007\/s002650050522","journal-title":"Behav. Ecol. Sociobiol."},{"issue":"1","key":"4118_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13677-019-0146-7","volume":"8","author":"S Afzal","year":"2019","unstructured":"Afzal, S., Kavitha, G.: Load balancing in cloud computing\u2014a hierarchical taxonomical classification. J. Cloud Comput. 8(1), 1\u201324 (2019). https:\/\/doi.org\/10.1186\/s13677-019-0146-7","journal-title":"J. Cloud Comput."},{"key":"4118_CR13","doi-asserted-by":"crossref","unstructured":"Singh, A.N., Prakash, S.: WAMLB: weighted active monitoring load balancing in cloud computing. In: Big Data Analytics, pp. 677\u2013685. Springer, Singapore (2018)","DOI":"10.1007\/978-981-10-6620-7_65"},{"key":"4118_CR14","doi-asserted-by":"publisher","first-page":"717","DOI":"10.1016\/j.procs.2017.12.092","volume":"125","author":"M Kumar","year":"2018","unstructured":"Kumar, M., Dubey, K., Sharma, S.C.: Elastic and flexible deadline constraint load balancing algorithm for cloud computing. Procedia Comput. Sci. 125, 717\u2013724 (2018). https:\/\/doi.org\/10.1016\/j.procs.2017.12.092","journal-title":"Procedia Comput. Sci."},{"key":"4118_CR15","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.compeleceng.2016.01.029","volume":"58","author":"SL Chen","year":"2017","unstructured":"Chen, S.L., Chen, Y.Y., Kuo, S.H.: CLB: a novel load balancing architecture and algorithm for cloud services. Comput. Electr. Eng. 58, 154\u2013160 (2017). https:\/\/doi.org\/10.1016\/j.compeleceng.2016.01.029","journal-title":"Comput. Electr. Eng."},{"issue":"1","key":"4118_CR16","first-page":"121","volume":"22","author":"G Muthusamy","year":"2021","unstructured":"Muthusamy, G., Chandran, S.R.: Cluster-based task scheduling using K-means clustering for load balancing in cloud datacenters. J. Internet Technol. 22(1), 121\u2013130 (2021)","journal-title":"J. Internet Technol."},{"key":"4118_CR17","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.future.2017.10.035","volume":"81","author":"M Adhikari","year":"2018","unstructured":"Adhikari, M., Amgoth, T.: Heuristic-based load-balancing algorithm for IaaS cloud. Futur. Gener. Comput. Syst. 81, 156\u2013165 (2018). https:\/\/doi.org\/10.1016\/j.future.2017.10.035","journal-title":"Futur. Gener. Comput. Syst."},{"issue":"1","key":"4118_CR18","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/s10723-019-09486-y","volume":"18","author":"L Kong","year":"2020","unstructured":"Kong, L., Mapetu, J.P.B., Chen, Z.: Heuristic load balancing based zero imbalance mechanism in cloud computing. J. Grid Comput. 18(1), 123\u2013148 (2020). https:\/\/doi.org\/10.1007\/s10723-019-09486-y","journal-title":"J. Grid Comput."},{"issue":"10","key":"4118_CR19","doi-asserted-by":"publisher","first-page":"987","DOI":"10.1080\/1206212X.2019.1640932","volume":"43","author":"RA Haidri","year":"2021","unstructured":"Haidri, R.A., Katti, C.P., Saxena, P.C.: Capacity based deadline aware dynamic load balancing (CPDALB) model in cloud computing environment. Int. J. Comput. Appl. 43(10), 987\u20131001 (2021). https:\/\/doi.org\/10.1080\/1206212X.2019.1640932","journal-title":"Int. J. Comput. Appl."},{"issue":"1s","key":"4118_CR20","first-page":"209","volume":"11","author":"ST Waghmode","year":"2023","unstructured":"Waghmode, S.T., Patil, B.M.: Adaptive load balancing in cloud computing environment. Int. J. Intell. Syst. Appl. Eng. 11(1s), 209\u2013217 (2023)","journal-title":"Int. J. Intell. Syst. Appl. Eng."},{"issue":"1","key":"4118_CR21","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/engproc2023029001","volume":"29","author":"Y Khair","year":"2023","unstructured":"Khair, Y., Benlabbes, H.: Opportunistic load balancing for virtual machines scheduling in a cloud environment. Eng. Proc. 29(1), 1\u20136 (2023). https:\/\/doi.org\/10.3390\/engproc2023029001","journal-title":"Eng. Proc."},{"issue":"1","key":"4118_CR22","doi-asserted-by":"publisher","first-page":"27","DOI":"10.4018\/IJITWE.2019010102","volume":"14","author":"S Mohanty","year":"2019","unstructured":"Mohanty, S., Patra, P.K., Ray, M., Mohapatra, S.: An approach for load balancing in cloud computing using JAYA algorithm. Int. J. Inf. Technol. Web Eng. 14(1), 27\u201341 (2019). https:\/\/doi.org\/10.4018\/IJITWE.2019010102","journal-title":"Int. J. Inf. Technol. Web Eng."},{"issue":"1","key":"4118_CR23","doi-asserted-by":"publisher","first-page":"411","DOI":"10.3233\/JIFS-219200","volume":"42","author":"T Bezdan","year":"2022","unstructured":"Bezdan, T., Zivkovic, M., Bacanin, N., Strumberger, I., Tuba, E., Tuba, M.: Multi-objective task scheduling in cloud computing environment by hybridized bat algorithm. J. Intell. Fuzzy Syst. 42(1), 411\u2013423 (2022). https:\/\/doi.org\/10.3233\/JIFS-219200","journal-title":"J. Intell. Fuzzy Syst."},{"key":"4118_CR24","doi-asserted-by":"publisher","first-page":"41731","DOI":"10.1109\/ACCESS.2021.3065308","volume":"9","author":"DA Shafiq","year":"2021","unstructured":"Shafiq, D.A., Jhanjhi, N.Z., Abdullah, A., Alzain, M.A.: A load balancing algorithm for the data centres to optimize cloud computing applications. IEEE Access 9, 41731\u201341744 (2021). https:\/\/doi.org\/10.1109\/ACCESS.2021.3065308","journal-title":"IEEE Access"},{"issue":"1","key":"4118_CR25","doi-asserted-by":"publisher","first-page":"579","DOI":"10.1007\/s10586-021-03432-y","volume":"25","author":"A Belgacem","year":"2022","unstructured":"Belgacem, A., Beghdad-Bey, K.: Multi-objective workflow scheduling in cloud computing: trade-off between makespan and cost. Clust. Comput. 25(1), 579\u2013595 (2022). https:\/\/doi.org\/10.1007\/s10586-021-03432-y","journal-title":"Clust. Comput."},{"issue":"5","key":"4118_CR26","doi-asserted-by":"publisher","first-page":"3481","DOI":"10.1007\/s10586-022-03580-9","volume":"25","author":"X Huang","year":"2022","unstructured":"Huang, X., Lin, Y., Zhang, Z., Guo, X., Su, S.: A gradient-based optimization approach for task scheduling problem in cloud computing. Clust. Comput. 25(5), 3481\u20133497 (2022). https:\/\/doi.org\/10.1007\/s10586-022-03580-9","journal-title":"Clust. Comput."},{"issue":"3","key":"4118_CR27","doi-asserted-by":"publisher","first-page":"2800","DOI":"10.1007\/s11227-020-03364-1","volume":"77","author":"A Asghari","year":"2021","unstructured":"Asghari, A., Sohrabi, M.K., Yaghmaee, F.: Task scheduling, resource provisioning, and load balancing on scientific workflows using parallel SARSA reinforcement learning agents and genetic algorithm. J. Supercomput. 77(3), 2800\u20132828 (2021). https:\/\/doi.org\/10.1007\/s11227-020-03364-1","journal-title":"J. Supercomput."},{"issue":"2","key":"4118_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10723-021-09560-4","volume":"19","author":"GAP Princess","year":"2021","unstructured":"Princess, G.A.P., Radhamani, A.S.: A hybrid meta-heuristic for optimal load balancing in cloud computing. J. Grid Comput. 19(2), 1\u201322 (2021). https:\/\/doi.org\/10.1007\/s10723-021-09560-4","journal-title":"J. Grid Comput."},{"issue":"6","key":"4118_CR29","doi-asserted-by":"publisher","first-page":"2332","DOI":"10.1016\/j.jksuci.2020.01.012","volume":"34","author":"UK Jena","year":"2022","unstructured":"Jena, U.K., Das, P.K., Kabat, M.R.: Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment. J. King Saud Univ.-Comput. Inf. Sci. 34(6), 2332\u20132342 (2022). https:\/\/doi.org\/10.1016\/j.jksuci.2020.01.012","journal-title":"J. King Saud Univ.-Comput. Inf. Sci."},{"issue":"1","key":"4118_CR30","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1186\/s13677-023-00401-1","volume":"12","author":"G Saravanan","year":"2023","unstructured":"Saravanan, G., Neelakandan, S., Ezhumalai, P., Maurya, S.: Improved wild horse optimization with levy flight algorithm for effective task scheduling in cloud computing. J. Cloud Comput. 12(1), 24 (2023). https:\/\/doi.org\/10.1186\/s13677-023-00401-1","journal-title":"J. Cloud Comput."},{"issue":"3","key":"4118_CR31","doi-asserted-by":"publisher","first-page":"3869","DOI":"10.1007\/s12652-020-01728-2","volume":"12","author":"TJB Durga Devi","year":"2021","unstructured":"Durga Devi, T.J.B., Subramani, A., Anitha, P.: Modified adaptive neuro fuzzy inference system based load balancing for virtual machine with security in cloud computing environment. J. Ambient. Intell. Humaniz. Comput. 12(3), 3869\u20133876 (2021). https:\/\/doi.org\/10.1007\/s12652-020-01728-2","journal-title":"J. Ambient. Intell. Humaniz. Comput."},{"issue":"1","key":"4118_CR32","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1007\/s11227-021-03915-0","volume":"78","author":"L Abualigah","year":"2022","unstructured":"Abualigah, L., Alkhrabsheh, M.: Amended hybrid multi-verse optimizer with genetic algorithm for solving task scheduling problem in cloud computing. J. Supercomput. 78(1), 740\u2013765 (2022). https:\/\/doi.org\/10.1007\/s11227-021-03915-0","journal-title":"J. Supercomput."},{"key":"4118_CR33","doi-asserted-by":"publisher","first-page":"106860","DOI":"10.1016\/j.comnet.2019.106860","volume":"162","author":"MM Golchi","year":"2019","unstructured":"Golchi, M.M., Saraeian, S., Heydari, M.: A hybrid of firefly and improved particle swarm optimization algorithms for load balancing in cloud environments: performance evaluation. Comput. Netw. 162, 106860 (2019). https:\/\/doi.org\/10.1016\/j.comnet.2019.106860","journal-title":"Comput. Netw."},{"key":"4118_CR34","doi-asserted-by":"publisher","unstructured":"Malik, M., Suman.: Lateral wolf based particle swarm optimization (LW-PSO) for load balancing on cloud computing. Wirel. Personal Commun. 125(2), 1125\u20131144 (2022). https:\/\/doi.org\/10.1007\/s11277-022-09592-3","DOI":"10.1007\/s11277-022-09592-3"},{"key":"4118_CR35","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-023-10520-2","author":"P Neelakantan","year":"2023","unstructured":"Neelakantan, P., Yadav, N.S.: An optimized load balancing strategy for an enhancement of cloud computing environment. Wirel. Personal Commun. (2023). https:\/\/doi.org\/10.1007\/s11277-023-10520-2","journal-title":"Wirel. Personal Commun."},{"key":"4118_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2020.11.106","author":"K Balaji","year":"2021","unstructured":"Balaji, K., Kiran, P.S., Kumar, M.S.: An energy efficient load balancing on cloud computing using adaptive cat swarm optimization. Mater. Today (2021). https:\/\/doi.org\/10.1016\/j.matpr.2020.11.106","journal-title":"Mater. Today"},{"key":"4118_CR37","doi-asserted-by":"publisher","first-page":"102485","DOI":"10.1016\/j.simpat.2021.102485","volume":"116","author":"A Thakur","year":"2022","unstructured":"Thakur, A., Goraya, M.S.: RAFL: a hybrid metaheuristic based resource allocation framework for load balancing in cloud computing environment. Simul. Model. Pract. Theory 116, 102485 (2022). https:\/\/doi.org\/10.1016\/j.simpat.2021.102485","journal-title":"Simul. Model. Pract. Theory"},{"key":"4118_CR38","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1016\/j.compeleceng.2017.11.018","volume":"69","author":"M Kumar","year":"2018","unstructured":"Kumar, M., Sharma, S.C.: Deadline constrained based dynamic load balancing algorithm with elasticity in cloud environment. Comput. Electr. Eng. 69, 395\u2013411 (2018). https:\/\/doi.org\/10.1016\/j.compeleceng.2017.11.018","journal-title":"Comput. Electr. Eng."},{"issue":"10","key":"4118_CR39","doi-asserted-by":"publisher","first-page":"3202","DOI":"10.1016\/j.cor.2007.02.014","volume":"35","author":"F Pezzella","year":"2008","unstructured":"Pezzella, F., Morganti, G., Ciaschetti, G.: A genetic algorithm for the flexible job-shop scheduling problem. Comput. Oper. Res. 35(10), 3202\u20133212 (2008). https:\/\/doi.org\/10.1016\/j.cor.2007.02.014","journal-title":"Comput. Oper. Res."},{"issue":"18","key":"4118_CR40","doi-asserted-by":"publisher","first-page":"9353","DOI":"10.1016\/j.amc.2012.03.018","volume":"218","author":"J Li","year":"2012","unstructured":"Li, J., Pan, Q., Xie, S.: An effective shuffled frog-leaping algorithm for multi-objective flexible job shop scheduling problems. Appl. Math. Comput. 218(18), 9353\u20139371 (2012). https:\/\/doi.org\/10.1016\/j.amc.2012.03.018","journal-title":"Appl. Math. Comput."},{"issue":"8","key":"4118_CR41","doi-asserted-by":"publisher","first-page":"4914","DOI":"10.1016\/j.jksuci.2020.12.001","volume":"34","author":"K Mishra","year":"2022","unstructured":"Mishra, K., Pati, J., Majhi, S.K.: A dynamic load scheduling in IaaS cloud using binary JAYA algorithm. J. King Saud Univ. Comput. Inf. Sci. 34(8), 4914\u20134930 (2022). https:\/\/doi.org\/10.1016\/j.jksuci.2020.12.001","journal-title":"J. King Saud Univ. Comput. Inf. Sci."},{"key":"4118_CR42","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/s10586-020-03075-5","volume":"24","author":"L Abualigah","year":"2021","unstructured":"Abualigah, L., Diabat, A.: A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments. Cluster Comput. 24, 205\u2013223 (2021). https:\/\/doi.org\/10.1007\/s10586-020-03075-5","journal-title":"Cluster Comput."},{"key":"4118_CR43","doi-asserted-by":"publisher","first-page":"6898","DOI":"10.1007\/s11227-021-04138-z","volume":"78","author":"W Khallouli","year":"2022","unstructured":"Khallouli, W., Huang, J.: Cluster resource scheduling in cloud computing: literature review and research challenges. J. Supercomput. 78, 6898\u20136943 (2022). https:\/\/doi.org\/10.1007\/s11227-021-04138-z","journal-title":"J. Supercomput."}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-023-04118-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-023-04118-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-023-04118-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T21:08:28Z","timestamp":1717016908000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-023-04118-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,14]]},"references-count":43,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,6]]}},"alternative-id":["4118"],"URL":"https:\/\/doi.org\/10.1007\/s10586-023-04118-3","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,8,14]]},"assertion":[{"value":"16 August 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 July 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 July 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 August 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no relevant financial or non-financial interests to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}