Software-defined network (SDN)-based data center service quality assurance method

Abstract

The present invention requests to protect a software-defined network (SDN)-based data center service quality assurance method that is a method applicable to a transmission network of a separation delay sensitive application and a bandwidth sensitive application in a data center. According to the method, a core layer switch and a convergence layer switch or only the core layer switch (this is determined according to a network topological structure) are or is divided into two parts, and the two parts respectively process the delay sensitive application or the bandwidth sensitive application, so that the isolated traffic transmission of the two types of application is realized. Compared with the prior art, on the one hand, different types of application acquire better service quality and do not interfere with each other; and on the other hand, a network resource use ratio is improved due to adoption of a flexible multi-path forwarding policy. In addition, due to use of SDN advantages, a custom-defined platform that is applicable to the data center and ensures the service quality policy is provided for the user, so that an efficient data center is made conveniently, the network is managed and controlled more easily, and both the network construction cost and later running maintenance cost are reduced.

Description

technical field [0001] The invention relates to the technical field of data center networks, in particular to a method for ensuring service quality inside a data center. Background technique [0002] As the core infrastructure of cloud computing, data centers have received extensive attention from academia and industry in recent years. The data center has also experienced the evolution from the early mainframes, minicomputers, servers, and enterprise data centers to cloud data centers and virtualized data centers. According to the Global Cloud Index report released by Cisco in 2015, global data center traffic has steadily entered the era of zettabytes. And according to its forecast, global data center IP traffic will increase from 3.4 zettabytes in 2014 to 10.4 zettabytes in 2019, with an average annual compound growth rate of 25%. [0003] For cost reasons, modern data centers are built on commodity switches and servers, and employ distributed file systems like Google Fil...

AI Technical Summary

Problems solved by technology

However, there are still many deficiencies in DCB: on the one hand, because QCN is highly dependent on factors such as the response time of congestion points, the time to send QCN frames through the network, and the queue adjustment time of reaction points, QCN is only suitable for long-life cycle data flow, which may not meet the communication conditions of a real data center network; on the other hand, due to the division of multiple memory partitions and multiple communication classes, the implementation complexity increases and the available bandwidth for large flows decreases

However, the performance requirements of these two applications on the network cannot be met in the mixed processing scheme

On the one hand, delay-sensitive applications often have large delays due to the large amount of data transmission traffic in the front egress queue, and even small flows may be lost in shared memory switches (even if the outbound port of a large flow and the small flow The outgoing ports of the streams are different)

On the other hand, it is difficult for bandwidth-sensitive applications to obtain sufficient and stable bandwidth in mixed processing solutions, and collisions between large flows are prone to occur, causing more serious network performance problems

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