Bandwidth allocation method, device, data center and storage medium

Abstract

The invention discloses a bandwidth allocation method, device, data center and storage medium, wherein the method includes: determining the user's preliminary forecast demand bandwidth according to the bandwidth usage historical data; collecting the user's bandwidth usage data in real time, and determining the bandwidth based on the bandwidth usage data Revise the strategy; based on the bandwidth correction strategy, revise the preliminary forecast demand bandwidth to obtain the ideal allocated bandwidth; determine the user's actual allocated bandwidth according to the bandwidth allocation rule and the ideal allocated bandwidth; adjust the user's bandwidth allocation according to the actual allocated bandwidth. The method, device, and storage medium of the present invention can make full use of historical data, improve prediction accuracy, grasp changes in user bandwidth requirements more accurately, improve bandwidth utilization, and improve user experience; realize intelligent dynamic self-adaptation of bandwidth allocation , which solves the problem of long configuration period and complex process and realizes bandwidth allocation based on user service level.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a bandwidth allocation method, device, data center and storage medium. Background technique [0002] Currently, operators are deploying a large number of data centers, and more and more services begin to rely on data centers. It can be said that the performance of data centers greatly affects the experience of various services. However, there are some problems in the current network architecture: the traditional network management process is complicated, and it relies too much on manual and static configurations, which cannot meet the needs of real-time traffic bandwidth optimization; the traffic of large service providers often has time characteristics, making it difficult to Users provide bandwidth guarantee; at present, user bandwidth usage often changes dynamically, static bandwidth allocation leads to low utilization, and bandwidth allocation is redundant. The...

AI Technical Summary

Problems solved by technology

However, there are some problems in the current network architecture: the traditional network management process is complicated, and it relies too much on manual and static configurations, which cannot meet the needs of real-time traffic bandwidth optimization; the traffic of large service providers often has time characteristics, making it difficult to Users provide bandwidth guarantee; at present, user bandwidth usage often changes dynamically, static bandwidth allocation leads to low utilization, and bandwidth allocation has redundancy

The above problems have seriously affected the performance and service experience of the data center, and also affected the process of network intelligence

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