Cloud computing makes it possible for application providers to provide services seamlessly and application users to receive services adaptively. By offering services that give users an initial experience, application providers can usually attract more users. This research proposes a type of sleeping mechanism-based cloud architecture where an experience service and an enrollment service are provided on one virtual machine (VM). Accordingly, we model the cloud architecture as a queue with an asynchronous multi-vacation and a selectable extra service. We also analyze the queueing model in the steady state by constructing a three-dimensional Markov chain. Following this, we evaluate the system performance of the proposed cloud architecture based on the energy conservation level of the system and the mean delay of the visitors who select the enrollment service. Moreover, we study the Nash equilibrium strategy of visitors by building an individual welfare function, and develop an improved intelligent search algorithm to investigate the socially optimal strategy of visitors. Aiming to achieve a social optimum, we formulate a pricing policy with a reasonable enrollment fee.

中文翻译：

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具有睡眠机制和注册服务的云体系结构的性能评估和Nash平衡

云计算使应用程序提供商可以无缝地提供服务，而应用程序用户则可以自适应地接收服务。通过提供给用户初步体验的服务，应用程序提供商通常可以吸引更多用户。这项研究提出了一种基于睡眠机制的云架构，其中在一个虚拟机（VM）上提供了体验服务和注册服务。因此，我们将云体系结构建模为具有异步多假期和可选附加服务的队列。我们还通过构建三维马尔可夫链来分析稳态下的排队模型。按照此，我们根据系统的节能水平和选择注册服务的访问者的平均延迟来评估所提出的云体系结构的系统性能。此外，我们通过建立个人福利函数研究游客的纳什均衡策略，并开发一种改进的智能搜索算法来研究游客的社会最优策略。为了实现社会最优，我们制定了具有合理入学费的定价政策。