In the design process of a hybrid cloud with the purpose of cost optimization, finding the optimal distribution between the resources to be deployed in both private and public clouds is a complex task. To help the cloud designer in this task, optimizer and simulation tools can be used. In the research presented in this paper, a state-of-the-art optimizer tool, designed for the optimal allocation of virtual machines in public clouds for cost optimization, is analyzed for its use in hybrid cloud scenarios. In addition, based on the system and workload model implemented by this tool, a simulator is developed and presented. The simulator provides detailed run-time performance information corresponding to the virtual machine allocations generated by the optimizer tool, offering essential analysis capabilities to the cloud designer. A motivating scenario is used to show how the combined utilization of the optimizer and simulation tools can offer fundamental help in the design and configuration process of hybrid clouds. The research questions posed in the motivating scenario are addressed in a set of experiments, which provide meaningful insights into the capabilities of the tools. The tools and all the experimental data carried out in this research have been made publicly available.

在以成本优化为目的的混合云的设计过程中，要在私有云和公共云中部署的资源之间找到最佳分配是一项复杂的任务。为了帮助云设计人员完成此任务，可以使用优化器和仿真工具。在本文提出的研究中，分析了一种最先进的优化器工具，该工具旨在优化公共云中虚拟机的分配以优化成本，并在混合云场景中使用了该工具。另外，基于此工具实现的系统和工作量模型，开发并提供了一个模拟器。该模拟器提供与优化程序工具生成的虚拟机分配相对应的详细运行时性能信息，从而为云设计人员提供必要的分析功能。一个激励性的场景用于说明优化器和仿真工具的组合利用如何在混合云的设计和配置过程中提供基本帮助。通过一组实验解决了激励方案中提出的研究问题，这些实验为工具的功能提供了有意义的见解。该研究中进行的工具和所有实验数据已公开提供。