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Virtual machine (VM) allocation is a difficult job in virtualization that is governed as an important aspect of VM migration. This process is performed to discover the optimum way to place VMs on physical machines (PMs) since it has clear implications for resource usage, energy efficiency, and performance of several applications, among other things. Hence an efficient VM placement problem is required. This paper presents a VM allocation technique based on the elephant herd optimization scheme. The proposed method is evaluated using real-time workload traces and the empirical results show that the proposed method reduces energy consumption, and maximizes resource utilization when compared to the existing methods. <\/jats:p>","DOI":"10.1142\/s0218126623501888","type":"journal-article","created":{"date-parts":[[2023,2,9]],"date-time":"2023-02-09T03:16:47Z","timestamp":1675912607000},"source":"Crossref","is-referenced-by-count":2,"title":["Dynamic Virtual Machine Allocation in Cloud Computing Using Elephant Herd Optimization Scheme"],"prefix":"10.1142","volume":"32","author":[{"given":"H. 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