The physical cloud servers consists of \(n\) number of machines for serving the requirements posted via Virtual Machines by the users. The allocation of requested Virtual Machines to appropriate Physical Servers is one among the challenging task exists in Cloud Computing. During the deployment phase several objectives needs to be considered which includes the total power consumption, the resource wastage, network propagation delay and so on. Allocating VM’s to PM’s with such fashion will lead the service providers financially. In this paper a swarm-based algorithm is modified for solving VM placement in terms of multi-objective perspective. Minimizing total power consumption and minimizing the resource wastage are the objectives considered in this paper. The results show the significance of the proposed model in terms of objective space and with the performance indicators such as ONGV and Spacing (\(S_{p}\)).

物理云服务器由\（n \）组成用户通过虚拟机发布的用于满足需求的计算机数量。将请求的虚拟机分配给适当的物理服务器是云计算中一项具有挑战性的任务之一。在部署阶段，需要考虑几个目标，包括总功耗，资源浪费，网络传播延迟等。以这种方式将VM分配给PM会在财务上引导服务提供商。在本文中，针对多目标视角对基于群体的算法进行了改进，以解决虚拟机的放置问题。最小化总功耗和最小化资源浪费是本文考虑的目标。\（S_ {p} \））。