Cloud computing is being rapidly adopted for managing IT services as a notable solution due to diverse beneficiaries such as automatically optimized resource management as well as modern service delivery models. The container as a service has been recently introduced by cloud providers as a new service apart from traditional cloud services. Containers enable applications to run and deploy on isolated virtual space, and the operating system kernel is shared among them. Also, containerization has some attributes such as scalability, highly portable properties, and lightweight, for those reasons, it is applied for running isolated applications. Reducing energy consumption, as well as their CO₂ emissions, are great deals for cloud providers. In this direction, consolidation is recommended as a vital energy-aware approach in cloud data centers. Previously, independent virtual machine migration or container migration was proposed in the literature for green computing in cloud data centers. However, this paper proposes a new cloud resource management procedure based on a multi-criteria decision-making method that takes advantage of a joint virtual machine and container migration approach concurrently. The results of simulations using ContainerCloudsim simulator validates the applicability of the proposed approach which shows notable reductions in energy consumption, SLA violation, and number of migrations in comparison with the state-of-the-art algorithms.

由于受益者多种多样，例如自动优化的资源管理以及现代的服务交付模型，云计算作为一种著名的解决方案而被迅速用于管理IT服务。云提供商最近已将容器即服务作为除传统云服务之外的一项新服务引入。容器使应用程序可以在隔离的虚拟空间上运行和部署，并且操作系统内核在它们之间共享。而且，由于这些原因，容器化具有一些属性，例如可伸缩性，高度可移植的属性和轻量级，由于这些原因，容器化被用于运行隔离的应用程序。减少能源消耗及其CO ₂排放，对于云提供商来说是一笔不小的交易。在这个方向上，建议将合并作为云数据中心中至关重要的能源感知方法。以前，文献中提出了独立的虚拟机迁移或容器迁移，用于云数据中心的绿色计算。然而，本文提出了一种基于多准则决策方法的新的云资源管理程序，该方法同时利用了联合虚拟机和容器迁移方法的优势。使用ContainerCloudsim模拟器进行的仿真结果验证了所提出方法的适用性，与最新算法相比，该方法显示出显着的能耗降低，SLA违规以及迁移数量的减少。