With the development of cloud computing, more and more cloud resources are rented or purchased by users. Using an economics approach to achieve cloud resource management has been thought of as a good choice for an enterprise user to complete an application’s migration and deployment into the public cloud. During an application’s migration process, it is important but very challenging to achieve the satisfaction of both the enterprise user and the public cloud provider at the same time. In this paper, we apply an economics approach to investigate the migration optimization problem during the migration process of applications from the enterprise user’s data center to the remote public cloud. We consider the application migration time of the enterprise user and the energy consumption of physical machines, and establish a single static round optimization problem for both the enterprise user and the cloud provider on the premise of satisfying the quality of experience (QoE) based on the Stackelberg game, where the public cloud provider is leader and the enterprise user is follower. Then we propose a novel algorithm to find the optimal physical machine placement for application migration. After that, we further consider that an enterprise user needs to migrate several applications, and extend the single-round static game to the multi-round dynamic game, where the energy consumption costs of the physical machines are reduced by adjusting the states of the physical machines in each round. We finally illustrate the performance of our scheme through some simulation results.

中文翻译：

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将企业应用程序迁移到云的 Stackelberg 博弈方法

随着云计算的发展，越来越多的云资源被用户租用或购买。使用经济的方法来实现云资源管理一直被认为是企业用户完成应用程序迁移和部署到公有云的不错选择。在应用程序的迁移过程中，同时实现企业用户和公有云提供商的满意度很重要，但也非常具有挑战性。在本文中，我们应用经济学方法研究应用程序从企业用户数据中心迁移到远程公有云过程中的迁移优化问题。我们考虑企业用户的应用迁移时间和物理机能耗，并基于Stackelberg博弈，在满足体验质量（QoE）的前提下，为企业用户和云提供商建立单轮静态优化问题，其中公共云提供商是领导者，企业用户是跟随者。然后我们提出了一种新颖的算法来寻找应用程序迁移的最佳物理机放置。之后，我们进一步考虑企业用户需要迁移多个应用，将单轮静态博弈扩展为多轮动态博弈，通过调整物理机的状态来降低物理机的能耗成本。每一轮的机器。我们最后通过一些仿真结果说明了我们方案的性能。