vBRAS traffic load balancing method and device based on end office cloudization

Abstract

The invention provides a vBRAS traffic load balancing method and device based on end office cloudization, and belongs to the technical field of communications. The vBRAS traffic load balancing method based on end office cloudization comprises the following steps: S1, acquiring traffic load data of ports; S2, comparing traffic loads of the ports with a threshold value, and acquiring ports of which the traffic loads are greater than the threshold value; S3, migrating a part of traffic loads on the ports of which the traffic loads are greater than the threshold value onto other ports; S4, comparing the traffic loads of the ports before and after traffic load migration of the ports to obtain a maximum value P<max><g> and a minimum value P<min><g> of the traffic loads, and a maximum value P<max><k> and a minimum value P<min><k> of the traffic loads before and after the traffic load migration; and S5, judging whether the traffic loads of the ports before and after the traffic load migration satisfy a preset second condition or not according to the P<max><g>, the P<min><g>, the P<max><k> and the P<min><k> in order to balance the load traffics of the ports.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a vBRAS traffic load balancing method and device based on end office cloudification. Background technique [0002] End-office cloudification has become an important trend in the development of the global telecommunications industry. End-office cloudification technology was created to solve the shortage of existing professional communication equipment. That is, instead of today's proprietary devices, functions can be aggregated or disaggregated, and the aggregated or disaggregated functions instantiated on the infrastructure. At present, end office cloudification has become a development focus recognized by the global telecom industry. Governments of various countries are actively accelerating the strategic layout and industrial development of end office cloudification in their countries through policy guidance and capital investment; international and domestic ...

AI Technical Summary

Problems solved by technology

[0003] With the rapid growth of telecommunication application business in the existing end-office cloud application system, the traffic in the network increases rapidly, resulting in slow business response, accompanied by problems such as high network congestion, low utilization rate, and high consumption.

[0004] At the same time, the existing end-office cloud application systems mainly use static load balancing algorithms, such as: Round Robin Scheduling, Source Hashing, Least Connection Scheduling, The weighted round-robin scheduling algorithm, the algorithm based on local least connection scheduling, etc., did not fully consider the problems of high network congestion, low utilization rate, and high consumption

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