Low-resource utilization and high-energy consumption have become progressively protuberant issues in cloud data centers. Virtual Machine (VM) migration is the key objective to resolve this issue. Moreover, extreme VM migration might empower Service-Level Agreement (SLA) violations. Few works are considered for optimizing throughput and energy consumption. An efficient VM migration must consider different parameters like network communication overhead, migration overhead, resource utilization, energy consumption and quality of service which is a multi-objective issue. Hence, in this paper, a Modified Pelican Optimization-based Variable Load Mean Function (MPO-VLMF)-based host overload detection is presented and security enhancement is developed. The main motive of this study is to achieve host overload detection and security enhancement. To obtain host overload detection, the variable load mean function is developed. In this mean function, the weight parameter is selected by considering Modified Pelican Optimization (MPO). The Levy flight (LF) is considered for enhancing the updating process of Pelican Optimization (PO). To enhance the security of the system, the Digital Signature-based Encryption (DSE) is developed. Based on this proposed approach, security and host overload detection are obtained. The proposed technique is implemented and evaluated by performance measures. It is compared with the conventional approaches to justify the performance of the system.

资源利用率低、能耗高已成为云数据中心日益突出的问题。虚拟机（VM）迁移是解决此问题的关键目标。此外，极端的虚拟机迁移可能会导致违反服务级别协议 (SLA)。很少有工作被考虑来优化吞吐量和能耗。高效的虚拟机迁移必须考虑不同的参数，例如网络通信开销、迁移开销、资源利用率、能耗和服务质量，这是一个多目标问题。因此，本文提出了一种基于改进鹈鹕优化的可变负载均值函数（MPO-VLMF）的主机过载检测并开发了安全增强功能。本研究的主要动机是实现主机过载检测和安全增强。为了获得主机过载检测，开发了可变负载平均函数。在此均值函数中，权重参数的选择考虑了改进鹈鹕优化 (MPO)。 Levy 飞行 (LF) 被认为是为了增强 Pelican Optimization (PO) 的更新过程。为了增强系统的安全性，开发了基于数字签名的加密（DSE）。基于所提出的方法，获得了安全性和主机过载检测。所提出的技术通过性能测量来实施和评估。通过与传统方法进行比较来证明系统性能的合理性。