More and more cloud data centers provide numerous cloud computing services. However, how to meet customer needs, improve efficiency and reduce costs are important issues that cloud service providers must deal with. For customers, it is very important to consider the quality of service requirements provided by the data center providing public cloud services. Besides, data center operators should consider how to reduce energy consumption. Therefore, for these important issues, we propose a possible balance between service quality and energy conservation strategy. We find the relationship between the minimal service resources and the required level of services. Under conditions consistent with the SLA, our strategy quantifies the quality of service and calculates the required computing resources according to changes in workload to achieve an energy-saving goal. Also, the policy approximate function is derived and can achieve efficient decision-made goals.

越来越多的云数据中心提供众多的云计算服务。然而，如何满足客户需求、提高效率、降低成本，是云服务提供商必须解决的重要问题。对于客户来说，考虑提供公有云服务的数据中心所提供的服务质量要求是非常重要的。此外，数据中心运营商应该考虑如何降低能耗。因此，针对这些重要问题，我们提出了服务质量和节能策略之间可能的平衡。我们找到了最小服务资源和所需服务水平之间的关系。在符合 SLA 的条件下，我们的策略是量化服务质量，根据工作量的变化计算所需的计算资源，以实现节能目标。同时，推导出策略近似函数，可以实现高效的决策目标。