Data splitting device and method for realizing multi-user processing thereof

Abstract

The embodiment of the invention provides a data distributing device and a multi-user processing implementation method thereof. The device comprises a switch chip, and an input group port, an output group port and a user port which are obtained based on port configuration of the switch chip; wherein the input group port is used for accessing flow for being shared by all users; the switch chip is used for copying the flow accessed by the input group port to the configured user port, after switching to a multi-user mode; each user port is used for providing the flow reaching the user port to the corresponding user to apply a corresponding user rule; the switch chip is also used for executing the user rule of each user port, obtaining processed messages and forwarding to the output group port preconfigured for each user; and the output group port which is only used by the set user is used for outputting the received messages. The data distributing device can flexibly support the multi-user processing, and is reduced in hardware cost, development difficulty and maintenance cost, and improved in forwarding performance.

Description

technical field [0001] The embodiments of the present invention relate to the field of data communication, and in particular, to a data distribution device and a method for implementing multi-user processing of the data distribution device. Background technique [0002] In today's information society, information has become a very important commodity, and various industries are increasingly dependent on information. How to create more value from limited information is one of the basic issues facing today's information society. . This is also one of the basic problems to be solved for the basic equipment for information access - data distribution equipment. After the data distribution equipment is connected to the traffic, because each user has different needs for information, each user is trying to extract valuable information from the information, conduct analysis, research, summary, and integration, and generate corresponding The basis for decision-making reflects the sp...

AI Technical Summary

Problems solved by technology

Traditional FPGA-based data offloading devices have high hardware costs, difficult software development, long development cycles, high maintenance costs, and a very limited number of users that can be supported. Generally, only 4 users are supported, and the ability to adapt to changes in demand is poor.

The data processing speed of the traditional multi-core processing data offloading equipment is not very high. When the traffic is copied to multiple users, the loss of processing performance is very large. In the current situation of explosive growth of information volume, the application scenarios are limited by performance. The impact is relatively large, and the hardware cost is relatively high

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