Recently, the research on sixth generation (6G) network systems has started as the deployments of fifth generation (5G) network systems go with a swing. One research aspect is the operation cost of 6G data centers because the energy consumption of the data centers has become a major portion of data centers’ operation cost as the request on 6G services gradually increases. Optimizing the energy consumption for lowering operating cost of data centers gains a lot of attention by the data center operators and becomes a hot issue of the current and future data center’s research. Most of the efforts in related studies have been made to minimize the operation cost from cooling, servers, and electricity aspects. However, most of the existing research studies address above operation cost issue in a separate manner which leads to inferior optimization results. Effective joint solutions are eagerly sought to optimize the operation cost of data centers. In this paper, a scheme of operation cost optimization is proposed for distributed data centers. Under the guide of the proposed scheme, electricity cost is optimized by taking into account of the multiple input single output (MISO) server power model, electricity price, and cooling efficiency. The workload distribution affecting the electricity cost as a major factor is studied and the optimal value of allocated workload is found to reduce the electricity cost. First, the whole system model is introduced. Next, based on the system model, the problem of cost optimization via workload dispatching is constructed without compromising service delay guarantee in service level agreement (SLA). Moreover, in order to conveniently solve the optimization problem, an algorithm is presented. Evaluation results demonstrate that the proposed scheme outperforms the existing scheme in terms of the total electricity cost reduction.

最近，随着第五代（5G）网络系统的部署日趋紧张，对第六代（6G）网络系统的研究已经开始。一个研究方面是6G数据中心的运营成本，因为随着对6G服务的需求逐渐增加，数据中心的能耗已成为数据中心运营成本的主要部分。优化能耗以降低数据中心的运营成本已引起数据中心运营商的广泛关注，并成为当前和未来数据中心研究的热点问题。在相关研究中，已经做出了大多数努力，以最大程度地降低冷却，服务器和电力方面的运营成本。然而，现有的大多数研究都以单独的方式解决上述运营成本问题，从而导致优化效果不佳。迫切需要有效的联合解决方案来优化数据中心的运营成本。本文提出了一种分布式数据中心的运营成本优化方案。在建议方案的指导下，通过考虑多输入单输出（MISO）服务器电源模型，电价和冷却效率来优化电费。研究了影响电力成本的主要工作量分布，并找到了分配的工作量的最优值以降低电力成本。首先，介绍整个系统模型。接下来，根据系统模型，在不影响服务水平协议（SLA）中的服务延迟保证的情况下，构建了通过工作负载分配进行成本优化的问题。此外，为了方便地解决优化问题，提出了一种算法。评估结果表明，该方案在降低总电力成本方面优于现有方案。