Minimization of energy consumption (EC) is a challenging task in cloud computing while fulfilling the service level agreement (SLA) between service providers and user. User requests are processed by Virtual Machines (VMs), which require computing, memory, and other resources from physical machines (PMs). So, an effective mapping mechanism is necessary to accommodate VMs inside PMs with optimum usage of resources. In the current article, a meta-heuristic approach (AntPu) is proposed for dynamically placing VMs to minimize EC and SLA violations in the cloud datacenter. Extensive simulations were performed to analyze the results, which describes that the proposed approach has a notable improvement in energy consumption and service level agreement over other existing approaches.

在满足服务提供商和用户之间的服务水平协议（SLA）的同时，使能耗（EC）最小化是云计算中的一项艰巨任务。用户请求由虚拟机（VM）处理，这需要物理机（PM）的计算，内存和其他资源。因此，必须有一种有效的映射机制，才能以最佳的资源使用率将PM容纳在PM中。在当前文章中，提出了一种元启发式方法（AntPu），用于动态放置VM，以最大程度地减少云数据中心中EC和SLA违规行为。进行了广泛的仿真以分析结果，结果表明，与其他现有方法相比，该方法在能耗和服务水平协议上有显着改善。