{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T04:25:48Z","timestamp":1774239948762,"version":"3.50.1"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,3,3]],"date-time":"2024-03-03T00:00:00Z","timestamp":1709424000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,3,3]],"date-time":"2024-03-03T00:00:00Z","timestamp":1709424000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"The National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["NO.61871468"],"award-info":[{"award-number":["NO.61871468"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"The Zhejiang Provincial Key Laboratory of New Network Standards and Technologies","award":["No. 2013E10012"],"award-info":[{"award-number":["No. 2013E10012"]}]},{"name":"The School-level Teaching Project of Zhejiang Gongshang University","award":["No. 1120XJ2918335"],"award-info":[{"award-number":["No. 1120XJ2918335"]}]},{"name":"The Key Research and Development Program of Zhejiang","award":["No.2021C01036"],"award-info":[{"award-number":["No.2021C01036"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2024,8]]},"DOI":"10.1007\/s10586-024-04269-x","type":"journal-article","created":{"date-parts":[[2024,3,3]],"date-time":"2024-03-03T13:01:51Z","timestamp":1709470911000},"page":"6511-6525","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Improved sparrow algorithm based virtual machine placement"],"prefix":"10.1007","volume":"27","author":[{"given":"Qianye","family":"Ren","sequence":"first","affiliation":[]},{"given":"Bin","family":"Zhuge","sequence":"additional","affiliation":[]},{"given":"Zitian","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Ligang","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Xian","family":"Jiang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,3,3]]},"reference":[{"issue":"11","key":"4269_CR1","first-page":"27","volume":"22","author":"N Zhou","year":"2020","unstructured":"Zhou, N.: The application of big data and cloud computing in the communication industry. China New Commun. 22(11), 27 (2020)","journal-title":"China New Commun."},{"issue":"10","key":"4269_CR2","first-page":"33","volume":"45","author":"KN Liu","year":"2019","unstructured":"Liu, K.N.: Virtual machine selection strategy based on task mapping in cloud data centers. Comput. Eng. 45(10), 33\u201339 (2019)","journal-title":"Comput. Eng."},{"issue":"4","key":"4269_CR3","doi-asserted-by":"publisher","first-page":"2945","DOI":"10.1007\/s10586-020-03060-y","volume":"23","author":"E Parvizi","year":"2020","unstructured":"Parvizi, E., Rezvani, M.H.: Utilization-aware energy-efficient virtual machine placement in cloud networks using NSGA-III meta-heuristic approach. Clust. Comput. 23(4), 2945\u20132967 (2020)","journal-title":"Clust. Comput."},{"issue":"11","key":"4269_CR4","first-page":"3944","volume":"33","author":"JQ Li","year":"2022","unstructured":"Li, J.Q., Lin, W.W., Shi, F., et al.: Energy saving virtual machine integration method based on hybrid swarm intelligence. J. Softw. 33(11), 3944\u20133966 (2022)","journal-title":"J. Softw."},{"issue":"08","key":"4269_CR5","doi-asserted-by":"publisher","first-page":"105","DOI":"10.19772\/j.cnki.2096-4455.2023.8.028","volume":"7","author":"XP Shi","year":"2023","unstructured":"Shi, X.P.: Optimization of virtual machine migration algorithm and resource scheduling in cloud computing environment. Electron. Compon. Inf. Technol. 7(08), 105\u2013109 (2023). https:\/\/doi.org\/10.19772\/j.cnki.2096-4455.2023.8.028","journal-title":"Electron. Compon. Inf. Technol."},{"key":"4269_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jnca.2019.06.006","volume":"143","author":"M Kumar","year":"2019","unstructured":"Kumar, M., Sharma, S., Goel, A., et al.: A comprehensive survey for scheduling techniques in cloud computing. J. Netw. Comput. Appl. 143, 1 (2019). https:\/\/doi.org\/10.1016\/j.jnca.2019.06.006","journal-title":"J. Netw. Comput. Appl."},{"key":"4269_CR7","first-page":"68","volume":"01","author":"YF Wu","year":"2022","unstructured":"Wu, Y.F., Jiao, J.: Virtual machine selection strategy for energy consumption reduction in cloud computing environment. Netw. Secur. Technol. Appl. 01, 68\u201370 (2022)","journal-title":"Netw. Secur. Technol. Appl."},{"key":"4269_CR8","doi-asserted-by":"publisher","unstructured":"Wu, J.Y.: Research and System Implementation of Virtual Machine Scheduling Strategy Based on Energy Perception in Cloud Computing Environment. Beijing University of Posts and Telecommunications. (2022). https:\/\/doi.org\/10.26969\/d.cnki.gbydu.2022.002700","DOI":"10.26969\/d.cnki.gbydu.2022.002700"},{"issue":"03","key":"4269_CR9","first-page":"32","volume":"38","author":"CY Zhang","year":"2021","unstructured":"Zhang, C.Y., Fu, X., Qiao, L.: Research on virtual machine placement based on multi objective optimization in cloud computing environment. Comput. Appl. Softw. 38(03), 32\u201338 (2021)","journal-title":"Comput. Appl. Softw."},{"issue":"03","key":"4269_CR10","first-page":"356","volume":"32","author":"SL Li","year":"2020","unstructured":"Li, S.L., Li, Z.H., Yu, X.R.: Virtual machine placement method based on multi objective optimization. J. Chongqing Univ. Posts Telecommun. (Nat. Sci. Ed.). 32(03), 356\u2013367 (2020)","journal-title":"J. Chongqing Univ. Posts Telecommun. (Nat. Sci. Ed.)."},{"key":"4269_CR11","doi-asserted-by":"publisher","first-page":"04007","DOI":"10.1051\/MATECCONF\/202133504007","volume":"335","author":"KS Chun","year":"2021","unstructured":"Chun, K.S., Leng, C.H., Myan, F.W., et al.: A novel local search-based approximation algorithm to optimize virtual machine placement with resource constraints. MATEC Web Conf. 335, 04007 (2021). https:\/\/doi.org\/10.1051\/MATECCONF\/202133504007","journal-title":"MATEC Web Conf."},{"key":"4269_CR12","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/j.procs.2016.07.210","volume":"93","author":"CT Joseph","year":"2016","unstructured":"Joseph, C.T., Martin, J.P.: Task dependency aware selection (TDAS) in cloud. Procedia Comput. Sci. 93, 269\u2013275 (2016)","journal-title":"Procedia Comput. Sci."},{"issue":"3","key":"4269_CR13","first-page":"172","volume":"38","author":"SC Xu","year":"2022","unstructured":"Xu, S.C., Xiong, M.H., Zhou, T.Q.: Virtual machine placement method based on firefly optimization. Telecommun. Sci. 38(3), 172\u2013182 (2022)","journal-title":"Telecommun. Sci."},{"key":"4269_CR14","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1016\/j.future.2020.08.036","volume":"115","author":"D Alboaneen","year":"2021","unstructured":"Alboaneen, D., Tianfield, H., Zhang, Y., et al.: A metaheuristic method for joint task scheduling and virtual machine placement in cloud data centers. Futur. Gener. Comput. Syst. 115, 201\u2013212 (2021)","journal-title":"Futur. Gener. Comput. Syst."},{"issue":"10","key":"4269_CR15","first-page":"2805","volume":"43","author":"SX Li","year":"2022","unstructured":"Li, S.X., Li, L.X., Deng, D., et al.: Cloud platform virtual machine placement strategy considering low resource consumption. Comput. Eng. Des. 43(10), 2805\u20132812 (2022)","journal-title":"Comput. Eng. Des."},{"key":"4269_CR16","first-page":"482","volume":"42","author":"Z Zhou","year":"2021","unstructured":"Zhou, Z., Wang, H., Li, J.F.: Virtual machine placement strategy based on family genetic algorithm. Comput. Eng. Des. 42, 482\u2013488 (2021)","journal-title":"Comput. Eng. Des."},{"issue":"4","key":"4269_CR17","first-page":"1115","volume":"37","author":"KN Liu","year":"2020","unstructured":"Liu, K.N.: Virtual machine migration model in cloud data center based on genetic algorithm. Comput. Appl. Res. 37(4), 1115\u20131118 (2020)","journal-title":"Comput. Appl. Res."},{"issue":"1","key":"4269_CR18","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1080\/21642583.2019.1708830","volume":"8","author":"J Xue","year":"2020","unstructured":"Xue, J., Shen, B.: A novel swarm intelligence optimization approach: sparrow search algorithm. Syst. Sci. Control Eng. 8(1), 22\u201334 (2020)","journal-title":"Syst. Sci. Control Eng."},{"issue":"22","key":"4269_CR19","first-page":"1","volume":"56","author":"YL Li","year":"2020","unstructured":"Li, Y.L., Wang, S.Q., Chen, Q.R., et al.: Comparative study of several novel swarm intelligence optimization algorithms. Comput. Eng. Appl. 56(22), 1\u201312 (2020)","journal-title":"Comput. Eng. Appl."},{"issue":"1","key":"4269_CR20","first-page":"116","volume":"40","author":"W Ma","year":"2022","unstructured":"Ma, W., Zhu, X.: Sparrow search algorithm based on improved levy flight disturbance strategy. J. Appl. Sci. 40(1), 116\u2013130 (2022)","journal-title":"J. Appl. Sci."},{"issue":"01","key":"4269_CR21","first-page":"43","volume":"27","author":"JM Gu","year":"2006","unstructured":"Gu, J.M., Hong, W.X., Liang, T.: An improved Chebyshev chaotic sequence and its performance analysis. Mil. Commun. Technol. 27(01), 43\u201346 (2006)","journal-title":"Mil. Commun. Technol."},{"key":"4269_CR22","unstructured":"Zhang, J., Liu, A.: Unmanned Aerial Vehicle Path Planning Method Based on Improved Levy Flight Antlion Optimization Algorithm: CN111815055A (2020)."},{"key":"4269_CR23","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1016\/j.future.2019.02.028","volume":"97","author":"AA Heidari","year":"2019","unstructured":"Heidari, A.A., Mirjalili, S., Faris, H., et al.: Harris hawks optimization: algorithm and applications. Futur. Gener. Comput. Syst. 97, 849\u2013872 (2019)","journal-title":"Futur. Gener. Comput. Syst."},{"key":"4269_CR24","doi-asserted-by":"publisher","first-page":"2687","DOI":"10.1109\/ACCESS.2015.2508940","volume":"3","author":"L Zuo","year":"2015","unstructured":"Zuo, L., Shu, L., Dong, S., et al.: A multi-objective optimization scheduling method based on the ant colony algorithm in cloud computing. IEEE Access. 3, 2687\u20132699 (2015)","journal-title":"IEEE Access."},{"issue":"2","key":"4269_CR25","doi-asserted-by":"publisher","first-page":"350","DOI":"10.4304\/jsw.9.2.350-357","volume":"9","author":"X Xia","year":"2014","unstructured":"Xia, X., Liu, J., Li, Y.: Particle swarm optimization algorithm with reverse-learning and local-learning behavior. J. Softw. 9(2), 350\u2013357 (2014)","journal-title":"J. Softw."},{"key":"4269_CR26","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili, S., Mirjalili, S.M., Lewis, A.: Grey wolf optimizer. Adv. Eng. Softw. 69, 46\u201361 (2014)","journal-title":"Adv. Eng. Softw."},{"issue":"2","key":"4269_CR27","first-page":"150","volume":"4","author":"M Jamil","year":"2013","unstructured":"Jamil, M., Yang, X.S.: A literature survey of benchmark functions for global optimization problems. Int. J. Math. Model. Numer. Optim. 4(2), 150\u2013194 (2013)","journal-title":"Int. J. Math. Model. Numer. Optim."},{"key":"4269_CR28","unstructured":"https:\/\/aws.amazon.com\/cn\/ec2\/instance-types\/"},{"key":"4269_CR29","first-page":"8","volume":"02","author":"MY Wang","year":"2020","unstructured":"Wang, M.Y., Ren, S.X.: A virtual machine placement method based on improved particle swarm optimization algorithm. Data Commun. 02, 8\u201314 (2020)","journal-title":"Data Commun."},{"key":"4269_CR30","unstructured":"Zhao, T., Wang, S., Duan X.M.: Task scheduling algorithm for embedded operating systems of smart meters based on grey wolf optimization algorithm. Appl. Microcontrollers Embed. Syst. 22(10), 55\u201357+78 (2022)"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04269-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10586-024-04269-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-024-04269-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,12]],"date-time":"2024-08-12T14:46:03Z","timestamp":1723473963000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10586-024-04269-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,3]]},"references-count":30,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,8]]}},"alternative-id":["4269"],"URL":"https:\/\/doi.org\/10.1007\/s10586-024-04269-x","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,3,3]]},"assertion":[{"value":"8 October 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 December 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 January 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 March 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":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interest"}}]}}