{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T18:01:22Z","timestamp":1774893682858,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":24,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819584109","type":"print"},{"value":"9789819584116","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-8411-6_26","type":"book-chapter","created":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T17:09:36Z","timestamp":1774890576000},"page":"339-351","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["High-Performance Virtual Machine Placement Strategy for\u00a0Dynamic Update Environments"],"prefix":"10.1007","author":[{"given":"Junjie","family":"Yin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaofeng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xing","family":"Zou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,3,31]]},"reference":[{"issue":"2","key":"26_CR1","doi-asserted-by":"publisher","first-page":"2571","DOI":"10.1109\/JSYST.2020.3002721","volume":"15","author":"S Azizi","year":"2020","unstructured":"Azizi, S., Shojafar, M., Abawajy, J., Buyya, R.: GRVMP: a greedy randomized algorithm for virtual machine placement in cloud data centers. IEEE Syst. J. 15(2), 2571\u20132582 (2020)","journal-title":"IEEE Syst. J."},{"issue":"3","key":"26_CR2","doi-asserted-by":"publisher","first-page":"2003","DOI":"10.1007\/s13204-021-02337-x","volume":"13","author":"K Balaji","year":"2023","unstructured":"Balaji, K., Sai Kiran, P., Sunil Kumar, M.: Power aware virtual machine placement in IAAS cloud using discrete firefly algorithm. Appl. Nanosci. 13(3), 2003\u20132011 (2023)","journal-title":"Appl. Nanosci."},{"key":"26_CR3","doi-asserted-by":"crossref","unstructured":"Calheiros, R.N., Ranjan, R., Beloglazov, A., De\u00a0Rose, C.A., Buyya, R.: CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw. Pract. Exp. 41(1), 23\u201350 (2011)","DOI":"10.1002\/spe.995"},{"key":"26_CR4","unstructured":"\u00c7avdar, M.C.: A utilization based genetic algorithm for virtual machine placement in cloud computing systems. Master\u2019s thesis, Bilkent Universitesi (Turkey) (2016)"},{"key":"26_CR5","volume":"28","author":"S Farzai","year":"2020","unstructured":"Farzai, S., Shirvani, M.H., Rabbani, M.: Multi-objective communication-aware optimization for virtual machine placement in cloud datacenters. Sustain. Comput. Inf. Syst. 28, 100374 (2020)","journal-title":"Sustain. Comput. Inf. Syst."},{"issue":"4","key":"26_CR6","first-page":"148","volume":"37","author":"K Gong","year":"2020","unstructured":"Gong, K., Wu, Y., Chen, K.: Container cloud multi-dimensional resource utilization balanced scheduling. Appl. Res. Comput. 37(4), 148\u2013152 (2020)","journal-title":"Appl. Res. Comput."},{"key":"26_CR7","doi-asserted-by":"crossref","unstructured":"Gopu, A., et al.: Energy-efficient virtual machine placement in distributed cloud using NSGA-III algorithm. J. Cloud Comput. 12(1), 124 (2023)","DOI":"10.1186\/s13677-023-00501-y"},{"key":"26_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2024.124857","volume":"255","author":"G Li","year":"2024","unstructured":"Li, G., Zhang, T., Tsai, C.Y., Yao, L., Lu, Y., Tang, J.: Review of the metaheuristic algorithms in applications: visual analysis based on bibliometrics. Expert Syst. Appl. 255, 124857 (2024)","journal-title":"Expert Syst. Appl."},{"issue":"2","key":"26_CR9","doi-asserted-by":"publisher","first-page":"766","DOI":"10.1109\/TSC.2019.2961082","volume":"15","author":"W Lin","year":"2019","unstructured":"Lin, W., Wu, W., He, L.: An on-line virtual machine consolidation strategy for dual improvement in performance and energy conservation of server clusters in cloud data centers. IEEE Trans. Serv. Comput. 15(2), 766\u2013777 (2019)","journal-title":"IEEE Trans. Serv. Comput."},{"issue":"1","key":"26_CR10","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1109\/TEVC.2016.2623803","volume":"22","author":"XF Liu","year":"2016","unstructured":"Liu, X.F., Zhan, Z.H., Deng, J.D., Li, Y., Gu, T., Zhang, J.: An energy efficient ant colony system for virtual machine placement in cloud computing. IEEE Trans. Evol. Comput. 22(1), 113\u2013128 (2016)","journal-title":"IEEE Trans. Evol. Comput."},{"key":"26_CR11","doi-asserted-by":"crossref","unstructured":"L\u00f3pez-Pires, F., Bar\u00e1n, B., Pereira, C., Vel\u00e1zquez, M., Gonz\u00e1lez, O.: Evaluation of two-phase virtual machine placement algorithms for green cloud datacenters. In: 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS* W), pp. 62\u201367. IEEE (2019)","DOI":"10.1109\/FAS-W.2019.00028"},{"issue":"4","key":"26_CR12","doi-asserted-by":"publisher","first-page":"2533","DOI":"10.1007\/s10586-019-03026-9","volume":"23","author":"M Masdari","year":"2020","unstructured":"Masdari, M., Gharehpasha, S., Ghobaei-Arani, M., Ghasemi, V.: Bio-inspired virtual machine placement schemes in cloud computing environment: taxonomy, review, and future research directions. Clust. Comput. 23(4), 2533\u20132563 (2020)","journal-title":"Clust. Comput."},{"key":"26_CR13","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.jnca.2016.01.011","volume":"66","author":"M Masdari","year":"2016","unstructured":"Masdari, M., Nabavi, S.S., Ahmadi, V.: An overview of virtual machine placement schemes in cloud computing. J. Netw. Comput. Appl. 66, 106\u2013127 (2016)","journal-title":"J. Netw. Comput. Appl."},{"issue":"4","key":"26_CR14","doi-asserted-by":"publisher","first-page":"727","DOI":"10.1007\/s10723-019-09489-9","volume":"18","author":"M Masdari","year":"2020","unstructured":"Masdari, M., Zangakani, M.: Green cloud computing using proactive virtual machine placement: challenges and issues. J. Grid Comput. 18(4), 727\u2013759 (2020)","journal-title":"J. Grid Comput."},{"issue":"5","key":"26_CR15","doi-asserted-by":"publisher","first-page":"4267","DOI":"10.1007\/s11227-020-03427-3","volume":"77","author":"T Menouer","year":"2021","unstructured":"Menouer, T.: KCSS: Kubernetes Container Scheduling Strategy. J. Supercomput. 77(5), 4267\u20134293 (2021)","journal-title":"J. Supercomput."},{"key":"26_CR16","doi-asserted-by":"crossref","unstructured":"Menouer, T., Darmon, P.: New scheduling strategy based on multi-criteria decision algorithm. In: 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), pp. 101\u2013107. IEEE (2019)","DOI":"10.1109\/EMPDP.2019.8671594"},{"issue":"1","key":"26_CR17","doi-asserted-by":"publisher","DOI":"10.1002\/dac.4747","volume":"35","author":"SS Nabavi","year":"2022","unstructured":"Nabavi, S.S., Gill, S.S., Xu, M., Masdari, M., Garraghan, P.: Tractor: traffic-aware and power-efficient virtual machine placement in edge-cloud data centers using artificial bee colony optimization. Int. J. Commun Syst 35(1), e4747 (2022)","journal-title":"Int. J. Commun Syst"},{"key":"26_CR18","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.future.2021.11.019","volume":"129","author":"J Peake","year":"2022","unstructured":"Peake, J., Amos, M., Costen, N., Masala, G., Lloyd, H.: PACO-VMP: parallel ant colony optimization for virtual machine placement. Futur. Gener. Comput. Syst. 129, 174\u2013186 (2022)","journal-title":"Futur. Gener. Comput. Syst."},{"issue":"1","key":"26_CR19","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1186\/s13677-023-00445-3","volume":"12","author":"J Qian","year":"2023","unstructured":"Qian, J., Wang, Y., Wang, X., Zhang, P., Wang, X.: Load balancing scheduling mechanism for OpenStack and docker integration. J. Cloud Comput. 12(1), 67 (2023)","journal-title":"J. Cloud Comput."},{"key":"26_CR20","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1016\/j.jpdc.2017.08.010","volume":"111","author":"MC Silva Filho","year":"2018","unstructured":"Silva Filho, M.C., Monteiro, C.C., In\u00e1cio, P.R., Freire, M.M.: Approaches for optimizing virtual machine placement and migration in cloud environments: a survey. J. Parallel Distrib. Comput. 111, 222\u2013250 (2018)","journal-title":"J. Parallel Distrib. Comput."},{"issue":"2","key":"26_CR21","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s00607-021-00955-5","volume":"104","author":"VC Ss","year":"2022","unstructured":"Ss, V.C., Hs, A.: Nature inspired meta heuristic algorithms for optimization problems. Computing 104(2), 251\u2013269 (2022)","journal-title":"Computing"},{"issue":"2","key":"26_CR22","doi-asserted-by":"publisher","first-page":"837","DOI":"10.1007\/s10586-019-02954-w","volume":"23","author":"H Talebian","year":"2020","unstructured":"Talebian, H., et al.: Optimizing virtual machine placement in IAAS data centers: taxonomy, review and open issues. Clust. Comput. 23(2), 837\u2013878 (2020)","journal-title":"Clust. Comput."},{"key":"26_CR23","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1016\/j.neucom.2020.06.120","volume":"428","author":"B Zhang","year":"2021","unstructured":"Zhang, B., Wang, X., Wang, H.: Virtual machine placement strategy using cluster-based genetic algorithm. Neurocomputing 428, 310\u2013316 (2021)","journal-title":"Neurocomputing"},{"key":"26_CR24","doi-asserted-by":"publisher","unstructured":"Zhang, X., Wang, X., Liu, Y., Deng, Z.: An efficient scheduling strategy for containers based on Kubernetes. In: International Conference on Collaborative Computing: Networking, Applications and Worksharing, pp. 326\u2013342. Springer (2022). https:\/\/doi.org\/10.1007\/978-3-031-24383-7_18","DOI":"10.1007\/978-3-031-24383-7_18"}],"container-title":["Lecture Notes in Computer Science","Algorithms and Architectures for Parallel Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-8411-6_26","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T17:09:38Z","timestamp":1774890578000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-8411-6_26"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819584109","9789819584116"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-8411-6_26","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"31 March 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICA3PP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Algorithms and Architectures for Parallel Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zhengzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 October 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ica3pp2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ieee-cybermatics.org\/2025\/ica3pp\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}