Bandwidth prediction method, device and equipment and storage medium

Abstract

The embodiment of the invention discloses a bandwidth prediction method and device, equipment and a storage medium, and the method comprises the steps: obtaining an uplink receiving bandwidth prediction value queue of a receiving end; obtaining a current sending rate, a first round trip delay queue and a packet loss rate queue of the sending end and an uplink sending bandwidth prediction value of a previous period; wherein the round-trip delay in the first round-trip delay queue is determined according to the sending time that the sending end sends the test data packet in each period and the time that the sending end receives the test response data packet from the receiving end; and determining the uplink transmission bandwidth predicted value of the current period according to the uplink receiving bandwidth predicted value queue, the current transmission rate, the first round-trip delay queue, the packet loss rate queue and the uplink transmission bandwidth predicted value of the previous period. According to the method, the network bandwidth can be accurately predicted, and network resources can be saved.

Description

technical field [0001] The present application relates to the technical field of network transmission, and in particular to a bandwidth prediction method, device, equipment and storage medium. Background technique [0002] In many network scenarios, in order to improve network bandwidth utilization, it is necessary to accurately detect bandwidth, and control the packet sending rate according to the detected bandwidth value, so as to avoid network congestion while maximizing the use of bandwidth resources. [0003] For example, take a real-time call scenario as an example. In this scenario, it is necessary to accurately detect the bandwidth, and adaptively adjust the data transmission coding rate according to the detected bandwidth value. When the bandwidth becomes smaller, the transmission coding rate is moderately reduced, and the transmission coding rate is adaptively controlled according to the bandwidth prediction value, so that the video stream transmission is more stab...

AI Technical Summary

Problems solved by technology

[0004] At present, the commonly used bandwidth prediction scheme is based on the TCP congestion control algorithm BBR (Bottleneck Bandwidth and RTT, BBR) proposed by Google. The BBR algorithm performs congestion judgment from the perspective of bottleneck link bandwidth and propagation delay. Detecting more accurate bandwidth on the network link improves bandwidth utilization and reduces network delay; however, in practical applications, the BBR algorithm relies on the packet arrival confirmation mechanism to count the round-trip time delay (Round-TripTime, RTT). Under the mechanism, the receiver is required to feed back ACK (Acknowledgment, confirmation character) to the sender every time it receives a message, which increases signaling overhead and wastes network resources.

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