The ever-increasing number of online services and tremendous data volume make the data center networks expand rapidly. The data center network must be flexible in scalability and cost-effective in order to respond quickly to the ever changing service requirements. However, the costs of switch-centric topologies are high, while the scalabilities of server-centric topologies are not good. How to build a flexible, highly scalable and cost-effective data center network structure is becoming a very challenging problem. Based on the Cartesian product graph, this paper proposes a new type of data center network structure named SDCCP (Scalable Data Center network structure based on Cartesian Product graphs). It is constructed by using commodity $m$-port switches and 2-port servers. Based on the $m$-degree Cartesian product graphs, we can construct different kinds of SDCCP structures which can be expanded in different scales by using the same type of $m$-port switches. In order to achieve incremental scalability, we further propose an incomplete SDCCP structure. Servers can be gradually added into the incomplete SDCCP structure while maintaining their topological properties unchanged. Compared with Fat-Tree and BCube, the SDCCP reduces the cost by about 30% and 60%, respectively; and reduces the energy consumption by about 27% and 35%, respectively. The performance analyzes and experimental results demonstrate that SDCCP strikes a good balance in terms of flexibility, scalability, cost-effectiveness, and low energy consumption in contrast to the typical data center network structures.

不断增加的在线服务数量和巨大的数据量使得数据中心网络迅速扩展。数据中心网络必须具有灵活的可扩展性和成本效益，以便快速响应不断变化的服务需求。但是，以交换机为中心的拓扑成本高，而以服务器为中心的拓扑的可扩展性不好。如何构建灵活、高扩展性和高性价比的数据中心网络结构，正成为一个极具挑战性的问题。本文基于笛卡尔积图，提出一种新型数据中心网络结构SDCCP（S calable D ata C enter network structure based on C artesian P产品图）。它是通过使用商品构建的$米$端口交换机和 2 端口服务器。基于$米$度笛卡尔积图，我们可以构建不同种类的SDCCP结构，这些结构可以通过使用相同类型的$米$- 端口开关。为了实现增量可扩展性，我们进一步提出了一个不完整的SDCCP结构。服务器可以逐步添加到不完整的SDCCP结构中，同时保持其拓扑属性不变。与Fat-Tree和BCube相比，SDCCP分别降低了约30%和60%的成本；并分别减少约 27% 和 35% 的能源消耗。性能分析和实验结果表明，与典型的数据中心网络结构相比， SDCCP在灵活性、可扩展性、成本效益和低能耗方面取得了很好的平衡。