{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T21:00:49Z","timestamp":1760821249441,"version":"3.41.2"},"reference-count":14,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T00:00:00Z","timestamp":1614038400000},"content-version":"vor","delay-in-days":53,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100007927","name":"Shandong Jianzhu University","doi-asserted-by":"publisher","award":["X19075Z0101"],"award-info":[{"award-number":["X19075Z0101"]}],"id":[{"id":"10.13039\/501100007927","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>Aiming at the problem of resource scheduling optimization in enterprise management cloud mode, a customizable fuzzy clustering cloud resource scheduling algorithm based on trust sensitivity is proposed. Firstly, on the one hand, a fuzzy clustering method is used to divide cloud resource scheduling into two aspects: cloud user resource scheduling and cloud task resource scheduling. On the other hand, a trust\u2010sensitive mechanism is introduced into cloud task scheduling to prevent malicious node attacks or dishonest recommendation from node providers. At the same time, in the cloud task scheduling, cloud resources are divided according to the comprehensive performance of resources, and the trust sensitivity coefficient of each type of task resources is calculated. Then, according to the trust sensitivity coefficient, the matching cloud tasks are selected for users. Through the comparison of simulation experiments, the customized fuzzy clustering cloud resource scheduling algorithm proposed in this paper reduces the user\u2019s cost of selecting cloud service provider in the cloud resource scheduling. It not only embodies the principle of cloud resource allocation on demand but also can give full play to the advantages of cloud resources and improve the throughput of the whole cloud system and the satisfaction of cloud users.<\/jats:p>","DOI":"10.1155\/2021\/6676908","type":"journal-article","created":{"date-parts":[[2021,2,24]],"date-time":"2021-02-24T04:05:10Z","timestamp":1614139510000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Qualitative Simulation Algorithm for Resource Scheduling in Enterprise Management Cloud Mode"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0088-5190","authenticated-orcid":false,"given":"Jiaohui","family":"Yu","sequence":"first","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,2,23]]},"reference":[{"key":"e_1_2_9_1_2","first-page":"2005","article-title":"The CMA-ES algorithm for resource scheduling in cloud computing","volume":"42","author":"Wei H.","year":"2017","journal-title":"Ce Ca"},{"key":"e_1_2_9_2_2","first-page":"661","article-title":"QoS based multi-constraints bin packing job scheduling heuristic for heterogeneous volunteer grid resources","volume":"16","author":"Rubab S.","year":"2019","journal-title":"The International Arab Journal of Information Technology"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/tnsm.2020.2977843"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.3946\/kjme.2020.179"},{"key":"e_1_2_9_5_2","first-page":"12","article-title":"Cloud HPC makes simulation-driven design optimization more accessible","volume":"22","author":"Bruce J.","year":"2016","journal-title":"Desktop Engineering"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.simpat.2014.05.003"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-com.2017.0873"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/bxt107"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/tpds.2015.2432799"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11590-014-0774-2"},{"key":"e_1_2_9_11_2","first-page":"333","article-title":"Self-management model in the scheduling of successive appointments in rheumatology","volume":"15","author":"Corredor D. 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