Data center network topology system based on module expansion

Abstract

The invention discloses a data center network topology system based on module expansion. And therefore, a problem that an expansion capability of tree topology of a data center is limited to the number of ports of a switch device and insufficiency of dynamic selectivity of a downlink can be solved. The implementation steps of system are as follows: an intermediate layer is introduced between a core layer and a convergence layer of a fat tree structure; a small network that is formed by connection of switches and servers of each of the layer is recorded as a basic module, so that a plurality of basic modules are constructed; four additional ports of switches of the core layer are utilized to connect all the basic modules to form a large whole network, so that a demand of construction of a data center network can be met and dynamic selection of a down link can be satisfied as well as a high halving bandwidth is provided; and lateral expanding, vertical expanding or mixing expanding is carried out on the network topology system as well as expansion of the network scale is supported flexibly. According to the invention, the system has a high network fault tolerance performance; more server devices can be accommodated; and a demand of application expansion in the future can be met; therefore, the system can be applied to construction of a data center network and high bandwidth data transmission can be provided.

Description

technical field [0001] The invention belongs to the technical field of the Internet, and in particular relates to a data center network topology system based on module expansion. It can be used to build a large-scale data center network and realize efficient communication between data center network servers. Background technique [0002] With the rapid development of network and information technology, the data center has become the service center of scientific research institutes, financial institutions and other industries in modern society, carrying the core business of enterprises and meeting the service requirements of data mining, storage, high-performance computing and so on. Therefore, the construction of a data center suitable for the development needs of enterprises has become a key IT construction project for service operators, scientific research institutes, and various portal websites to achieve the purpose of improving service efficiency, reducing operating cos...

AI Technical Summary

Problems solved by technology

The traditional tree structure adopts high-performance dedicated switching equipment, connects switches and server equipment in a multi-root tree manner, and realizes the expansion goal of the data center network by vertical expansion. The expansion scale is positively correlated with the number of topology layers, that is, the larger the network scale, the more The higher the number of topological layers of the network, but the expansion scale of the traditional tree structure is limited by the number of ports of the high-level switching equipment, and the structure has serious overload problems. The higher the number of layers, the more serious the overload problem of the high-level. Dedicated equipment, high equipment cost, only downlink, lack of dynamic selectivity, single point of failure is inevitable; the fat tree structure uses a top-down core layer, aggregation layer, and edge layer to build a data center network. Compared with the traditional tree structure, the fat tree structure replaces high-performance special equipment with commercial equipment, and replaces vertical expansion with horizontal expansion, which solves the problems of high cost and serious overload of traditional tree structure equipment to a certain extent, but the fat tree structure is difficult to overcome The expansion capability of the traditional tree structure is limited by the number of ports of the core switching equipment. The fat tree structure still has the disadvantages of unique downlink, lack of dynamic selectivity, and single point of failure.

Images