The unprecedented growth in data volume results in an urgent need for a dramatic increase in the size of data center networks. Accommodating millions to even billions of servers in the structure of data center networks, while providing highly-efficient interconnecting architectures, is of prominent importance nowadays. Generally, high scalability, noticeable fault-tolerance, great network capacity, limited delay, reasonable power consumption, and justifiable construction cost have to be listed as the principal design goals of well-organized cloud data center networks. In this paper, Platonica, a novel dual-centric and recursively defined architecture, is proposed. Platonica is constructed by employing fault-tolerant building blocks inspired by the edge connection pattern of five varieties of Platonic solids that turns the proposed architecture to a flexible scheme. It also escapes the adoption of any leveling policy for the network equipment, which leads to the efficient usage of all the employed resources. Moreover, to ameliorate the routing efficiency and the network fault-tolerance, two exclusively designed routing algorithms are presented. Both theoretical analysis and simulation results demonstrate that Platonica is highly fault-tolerant and can provide notable network capacity, good average path length, and low latency to support delay-sensitive and data-intensive applications. It can also be considered as a cost-effective and power-efficient network architecture. Altogether, Platonica achieves a good balance among all the major goals of designing cloud data center networks.

数据量的空前增长导致迫切需要大幅增加数据中心网络的规模。如今，在提供高效的互连体系结构的同时，在数据中心网络的结构中容纳数百万甚至数十亿的服务器非常重要。通常，必须将组织良好的云数据中心网络的主要设计目标列为高可伸缩性，显着的容错能力，巨大的网络容量，有限的延迟，合理的功耗以及合理的建设成本。在本文中，提出了一种新颖的双中心且递归定义的架构Platonica。Platonica是通过采用容错的构建基块来构建的，该模块受五种Platonic固体的边缘连接模式的启发，从而将所提出的体系结构转变为一种灵活的方案。它还避免了对网络设备采用任何分级策略，从而有效利用了所有使用的资源。此外，为了改善路由效率和网络容错能力，提出了两种专门设计的路由算法。理论分析和仿真结果均表明，Platonica具有高度的容错能力，可以提供显着的网络容量，良好的平均路径长度和低延迟，以支持对延迟敏感的数据密集型应用程序。它也可以被认为是一种经济高效的电源网络架构。共，