Method and system of cloud route data processing based on port deflection

Abstract

The invention provides a method and a system of cloud route data processing based on port deflection. The method comprises the following steps: step 1, separating a port of a cloud route node into a forwarding port and a processing port; step 2, creating a cloud route based on the forwarding port and the processing port by the cloud route node, forwarding the data at the forwarding port, and processing the data at the processing port; step 3, carrying out cyclic statistics on the forwarded data unprocessed by the cloud route node, and dynamically updating the cloud route according to the result of the statistics and the position of the cloud route node; and step 4, processing the forwarded data unprocessed by the cloud route node. The method and the system solve the obstacles and problems of switching granularity, transmission data buffering and the like in the existing optical burst switching, thereby solving the problem of network single-point performance bottleneck, fully utilizing the processing resource of network node, eliminating the effect of short board, and efficiently shortening the distance between single-node processing and transmission capability.

Description

technical field [0001] The invention relates to the field of Internet information services, in particular to a cloud routing data processing method and system based on port deflection. Background technique [0002] Cloud service is the mainstream mode of next-generation Internet information service and the core of modern service industry. With the increasing number of Internet users in the scale of tens of millions to hundreds of millions, the physical scale of the Internet is also expanding, and its computing power is constantly increasing. The amount of routing transmission is growing super-linearly, but the traditional Internet based on electrical interconnection technology has gradually been unable to meet the exponential growth demand of big data services for transmission bandwidth in terms of data exchange scale, exchange capacity, and exchange speed. The Dense Wavelength Division Multiplexing (DWDM) technology that emerged in the 1990s made optical networks quickly be...

AI Technical Summary

Problems solved by technology

Router cascading is not a good long-term upgrade solution, because as the number of switch cascading increases, the interconnection link will occupy a large number of ports. At the same time, when multiple routers are connected together, the delay and jitter will increase rapidly. The network performance is greatly reduced; the optical burst switching network uses the processing method of electric domain control and optical domain switching, as shown in the attached figure 1 As shown, although it can greatly increase the switching capacity, it is still subject to the development of optical device technology, and a large number of IP packets need to be aggregated to adapt to the response speed of existing optical switches and wavelength conversion devices, thus resulting in excessive switching granularity. At the same time, there is also a lack of corresponding solutions when port competition occurs when switching core nodes. These factors will affect the overall efficiency of the network.

The centralized parallel routing improves the switching and routing processing capabilities of a single node by cross-connecting a large number of switching units. However, with the further expansion of the scale, energy consumption, heat dissipation and line crosstalk become serious problems affecting its scalability. figure 2 shown

[0004] Generally speaking, due to the rapid development of optical communication technology, the network data transmission capacity has greatly exceeded the network data processing capacity, resulting in a mismatch between transmission and processing. It is about to face a technical bottleneck, and the optical domain data processing technology is far from mature, so this mismatch phenomenon will become more serious in the future, and the single-point data processing capability will become the main factor restricting the improvement of network system efficiency

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