{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:34:10Z","timestamp":1772120050537,"version":"3.50.1"},"reference-count":33,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T00:00:00Z","timestamp":1725408000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T00:00:00Z","timestamp":1725408000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"National Key RD Plan of China","award":["2017YFA0604500"],"award-info":[{"award-number":["2017YFA0604500"]}]},{"name":"Key scientific and technological R&D Plan of Jilin Province of China","award":["20180201103GX"],"award-info":[{"award-number":["20180201103GX"]}]},{"name":"National Key Research and Development Plan of China","award":["2020YFB0204800"],"award-info":[{"award-number":["2020YFB0204800"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["T2125006"],"award-info":[{"award-number":["T2125006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Jiangsu Innovation Capacity Building Program","award":["BM2022028"],"award-info":[{"award-number":["BM2022028"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Earth Sci Inform"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s12145-024-01460-x","type":"journal-article","created":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T00:02:25Z","timestamp":1725408145000},"page":"5655-5670","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A surrogate model-based ESM parameter tuning scientific workflow management framework for HPC"],"prefix":"10.1007","volume":"17","author":[{"given":"Liang","family":"Hu","sequence":"first","affiliation":[]},{"given":"Xianwei","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Xilong","family":"Che","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,9,4]]},"reference":[{"issue":"3","key":"1460_CR1","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 MK, Yaghmaee F (2021) 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","journal-title":"J Supercomput"},{"issue":"2","key":"1460_CR2","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1109\/MCSE.2021.3052101","volume":"23","author":"M Beg","year":"2021","unstructured":"Beg M, Taka J, Kluyver T et al (2021) Using jupyter for reproducible scientific workflows. Computing in Science & Engineering 23(2):36\u201346","journal-title":"Computing in Science & Engineering"},{"key":"1460_CR3","doi-asserted-by":"crossref","unstructured":"Bharathi S, Chervenak A, Deelman E, et\u00a0al (2008) Characterization of scientific workflows. In: 2008 third workshop on workflows in support of large-scale science, IEEE, pp 1\u201310","DOI":"10.1109\/WORKS.2008.4723958"},{"key":"1460_CR4","first-page":"39","volume-title":"A case study on the use of workflow technologies for scientific analysis: Gravitational wave data analysis","author":"DA Brown","year":"2007","unstructured":"Brown DA, Brady PR, Dietz A et al (2007) A case study on the use of workflow technologies for scientific analysis: Gravitational wave data analysis. Scientific workflows for grids, Workflows for e-Science, pp 39\u201359"},{"key":"1460_CR5","doi-asserted-by":"publisher","unstructured":"Chinta S, Balaji C (2020) Calibration of WRF model parameters using multiobjective adaptive surrogate model-based optimization to improve the prediction of the Indian summer monsoon. Climate Dynamics 55(3-4):631\u2013650. https:\/\/doi.org\/10.1007\/s00382-020-05288-1, http:\/\/link.springer.com\/10.1007\/s00382-020-05288-1","DOI":"10.1007\/s00382-020-05288-1"},{"issue":"10","key":"1460_CR6","doi-asserted-by":"publisher","first-page":"1021","DOI":"10.1002\/cpe.992","volume":"18","author":"D Churches","year":"2006","unstructured":"Churches D, Gombas G, Harrison A et al (2006) Programming scientific and distributed workflow with triana services. Concurrency and Computation: Practice and Experience 18(10):1021\u20131037","journal-title":"Concurrency and Computation: Practice and Experience"},{"key":"1460_CR7","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.future.2014.10.008","volume":"46","author":"E Deelman","year":"2015","unstructured":"Deelman E, Vahi K, Juve G et al (2015) Pegasus, a workflow management system for science automation. Futur Gener Comput Syst 46:17\u201335","journal-title":"Futur Gener Comput Syst"},{"issue":"1","key":"1460_CR8","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1177\/1094342017704893","volume":"32","author":"E Deelman","year":"2018","unstructured":"Deelman E, Peterka T, Altintas I et al (2018) The future of scientific workflows. The International Journal of High Performance Computing Applications 32(1):159\u2013175","journal-title":"The International Journal of High Performance Computing Applications"},{"issue":"1","key":"1460_CR9","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/s10270-023-01112-6","volume":"23","author":"J Erbel","year":"2024","unstructured":"Erbel J, Grabowski J (2024) Scientific workflow execution in the cloud using a dynamic runtime model. Softw Syst Model 23(1):163\u2013193","journal-title":"Softw Syst Model"},{"key":"1460_CR10","doi-asserted-by":"crossref","unstructured":"Fu H, Liao J, Xue W, et\u00a0al (2016a) Refactoring and optimizing the community atmosphere model (cam) on the sunway taihulight supercomputer. In: SC\u201916: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, IEEE, pp 969\u2013980","DOI":"10.1109\/SC.2016.82"},{"key":"1460_CR11","doi-asserted-by":"crossref","unstructured":"Fu H, Liao J, Yang J, et\u00a0al (2016b) The sunway taihulight supercomputer: system and applications. Science China Information Sciences 59:1\u201316","DOI":"10.1007\/s11432-016-5588-7"},{"issue":"1","key":"1460_CR12","doi-asserted-by":"publisher","first-page":"15549","DOI":"10.1038\/s41598-023-42913-5","volume":"13","author":"C Gou","year":"2023","unstructured":"Gou C, Li J, Li Y et al (2023) Construction of a specialized integrated simulation platform for molecule screening based on scientific computing workflow engine. Sci Rep 13(1):15549","journal-title":"Sci Rep"},{"issue":"2","key":"1460_CR13","first-page":"73","volume":"4","author":"JC Jacob","year":"2009","unstructured":"Jacob JC, Katz DS, Berriman GB et al (2009) Montage: a grid portal and software toolkit for science-grade astronomical image mosaicking. Int J Comput Sci Eng 4(2):73\u201387","journal-title":"Int J Comput Sci Eng"},{"issue":"15","key":"1460_CR14","doi-asserted-by":"publisher","first-page":"5453","DOI":"10.1175\/JCLI-D-12-00442.1","volume":"26","author":"Y Lin","year":"2013","unstructured":"Lin Y, Zhao M, Ming Y et al (2013) Precipitation partitioning, tropical clouds, and intraseasonal variability in gfdl am2. J Clim 26(15):5453\u20135466","journal-title":"J Clim"},{"issue":"5","key":"1460_CR15","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1007\/BF02916365","volume":"21","author":"H Liu","year":"2004","unstructured":"Liu H, Zhang X, Li W et al (2004) An eddy-permitting oceanic general circulation model and its preliminary evaluation. Adv Atmos Sci 21(5):675\u2013690","journal-title":"Adv Atmos Sci"},{"key":"1460_CR16","doi-asserted-by":"crossref","unstructured":"Livny J, Teonadi H, Livny M et al (2008) High-throughput, kingdom-wide prediction and annotation of bacterial non-coding rnas. PLoS ONE 3(9)","DOI":"10.1371\/journal.pone.0003197"},{"issue":"10","key":"1460_CR17","doi-asserted-by":"publisher","first-page":"1039","DOI":"10.1002\/cpe.994","volume":"18","author":"B Lud\u00e4scher","year":"2006","unstructured":"Lud\u00e4scher B, Altintas I, Berkley C et al (2006) Scientific workflow management and the kepler system. Concurrency and computation: Practice and experience 18(10):1039\u20131065","journal-title":"Concurrency and computation: Practice and experience"},{"issue":"4","key":"1460_CR18","doi-asserted-by":"publisher","first-page":"4002","DOI":"10.1109\/TNSM.2021.3125395","volume":"18","author":"X Ma","year":"2021","unstructured":"Ma X, Xu H, Gao H et al (2021) Real-time multiple-workflow scheduling in cloud environments. IEEE Trans Netw Serv Manage 18(4):4002\u20134018","journal-title":"IEEE Trans Netw Serv Manage"},{"key":"1460_CR19","doi-asserted-by":"crossref","unstructured":"Maechling P, Deelman E, Zhao L et\u00a0al (2007) Scec cybershake workflows\u2014automating probabilistic seismic hazard analysis calculations. Workflows for e-Science: scientific workflows for grids pp 143\u2013163","DOI":"10.1007\/978-1-84628-757-2_10"},{"key":"1460_CR20","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1016\/j.future.2017.10.029","volume":"110","author":"M Malawski","year":"2020","unstructured":"Malawski M, Gajek A, Zima A et al (2020) Serverless execution of scientific workflows: Experiments with hyperflow, aws lambda and google cloud functions. Futur Gener Comput Syst 110:502\u2013514","journal-title":"Futur Gener Comput Syst"},{"issue":"17","key":"1460_CR21","doi-asserted-by":"publisher","first-page":"3045","DOI":"10.1093\/bioinformatics\/bth361","volume":"20","author":"T Oinn","year":"2004","unstructured":"Oinn T, Addis M, Ferris J et al (2004) Taverna: a tool for the composition and enactment of bioinformatics workflows. Bioinformatics 20(17):3045\u20133054","journal-title":"Bioinformatics"},{"issue":"4","key":"1460_CR22","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1109\/38.56302","volume":"10","author":"R Rew","year":"1990","unstructured":"Rew R, Davis G (1990) Netcdf: an interface for scientific data access. IEEE Comput Graphics Appl 10(4):76\u201382","journal-title":"IEEE Comput Graphics Appl"},{"key":"1460_CR23","unstructured":"Servoli L, Cantinia F, Cinquilliab M, et\u00a0al (2010) Studies of the performances of an open source batch system\/scheduler (torque\/maui) implemented on a middle sized grid site. In: Proceedings of the 13th International Workshop on Advanced Computing and Analysis Techniques in Physics Research. February 22-27, p\u00a042"},{"key":"1460_CR24","unstructured":"Severance C, Dowd K (2010) High performance computing. OpenStax CNX"},{"key":"1460_CR25","doi-asserted-by":"crossref","unstructured":"Soveizi N, Turkmen F, Karastoyanova D (2023) Security and privacy concerns in cloud-based scientific and business workflows: A systematic review. Future Generation Computer Systems","DOI":"10.1016\/j.future.2023.05.015"},{"issue":"4","key":"1460_CR26","doi-asserted-by":"publisher","first-page":"644","DOI":"10.1109\/TEVC.2017.2675628","volume":"21","author":"C Sun","year":"2017","unstructured":"Sun C, Jin Y, Cheng R et al (2017) Surrogate-assisted cooperative swarm optimization of high-dimensional expensive problems. IEEE Trans Evol Comput 21(4):644\u2013660","journal-title":"IEEE Trans Evol Comput"},{"key":"1460_CR27","doi-asserted-by":"crossref","unstructured":"Uhrin M, Huber SP, Yu J et al (2021) Workflows in aiida: Engineering a high-throughput, event-based engine for robust and modular computational workflows. Comput Mater Sci 187","DOI":"10.1016\/j.commatsci.2020.110086"},{"issue":"10","key":"1460_CR28","doi-asserted-by":"publisher","first-page":"1161","DOI":"10.1038\/s41592-021-01254-9","volume":"18","author":"L Wratten","year":"2021","unstructured":"Wratten L, Wilm A, G\u00f6ke J (2021) Reproducible, scalable, and shareable analysis pipelines with bioinformatics workflow managers. Nat Methods 18(10):1161\u20131168","journal-title":"Nat Methods"},{"key":"1460_CR29","doi-asserted-by":"publisher","unstructured":"Wu L, Zhang T, Qin Y, et\u00a0al (2020) An effective parameter optimization with radiation balance constraint in CAM5 (version 5.3). Geosci Model Develop 13(1):41\u20135 https:\/\/doi.org\/10.5194\/gmd-13-41-2020, https:\/\/gmd.copernicus.org\/articles\/13\/41\/2020\/","DOI":"10.5194\/gmd-13-41-2020"},{"key":"1460_CR30","doi-asserted-by":"publisher","unstructured":"Xu H, Zhang T, Luo Y et\u00a0al (2018) Parameter calibration in global soil carbon models using surrogate-based optimization. Geosci Model Develop 11(7):3027\u2013304 https:\/\/doi.org\/10.5194\/gmd-11-3027-2018, https:\/\/gmd.copernicus.org\/articles\/11\/3027\/2018\/","DOI":"10.5194\/gmd-11-3027-2018"},{"key":"1460_CR31","doi-asserted-by":"publisher","first-page":"1154","DOI":"10.1016\/j.future.2017.02.044","volume":"86","author":"J Yan","year":"2018","unstructured":"Yan J, Ma Y, Wang L et al (2018) A cloud-based remote sensing data production system. Futur Gener Comput Syst 86:1154\u20131166","journal-title":"Futur Gener Comput Syst"},{"key":"1460_CR32","doi-asserted-by":"crossref","unstructured":"Yoo AB, Jette MA, Grondona M (2003) Slurm: Simple linux utility for resource management. In: Workshop on job scheduling strategies for parallel processing, Springer, pp 44\u201360","DOI":"10.1007\/10968987_3"},{"key":"1460_CR33","unstructured":"Zhang WM, Liu CC, Luo ZG (2011) A review on scientific workflows. Journal of National University of Defense Technology 33(3):56\u201365"}],"container-title":["Earth Science Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-024-01460-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12145-024-01460-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12145-024-01460-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,20]],"date-time":"2024-11-20T03:21:39Z","timestamp":1732072899000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12145-024-01460-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,4]]},"references-count":33,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["1460"],"URL":"https:\/\/doi.org\/10.1007\/s12145-024-01460-x","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-4645479\/v1","asserted-by":"object"}]},"ISSN":["1865-0473","1865-0481"],"issn-type":[{"value":"1865-0473","type":"print"},{"value":"1865-0481","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,4]]},"assertion":[{"value":"27 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 August 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 September 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}},{"value":"The authors declare no competing financial or non-financial interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}}]}}