Low-delay network content transmission method and device, electronic equipment and medium

Abstract

The invention provides a low-delay network content transmission method, device and equipment and a medium, and the method comprises the steps: constructing a content popularity model through employing the Zipf's law, and constructing a network topology model comprising a micro base station, a macro base station and cloud; constructing a network content total time delay model, wherein the network content total time delay model comprises a model for calculating network content transmission time delay on a link and a model for calculating average stay time delay in the micro base station, the macro base station and the cloud; performing a routing decision according to a routing strategy, regarding requests for the same content as the same request, solving the average delay in the network content total delay model based on a caching strategy, and optimizing caching and the routing decision based on a solving result. The convergence effect of the same content is considered to reduce the utilization rate of the server, so the network content transmission delay is optimized, the network content distribution efficiency is improved, and the network transmission pressure is relieved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a low-latency network content transmission method, device, electronic equipment and medium. Background technique [0002] With the rapid development of communication technology, people's requirements for network content transmission are increasing day by day. In order to reduce infrastructure costs and make it easier for individuals and businesses to use computing resources, cloud computing was proposed and developed. Because of its powerful computing resources and scalability, it greatly reduces the delay of network content transmission. However, with the increase of innovative services, people are not limited to the interaction of text information, and information interaction methods with high data volumes such as voice, pictures, and videos are becoming more and more common. Massive data transmission to the cloud for processing puts great pressure on the backb...

AI Technical Summary

Problems solved by technology

[0004] However, edge devices have limited computing power and storage capacity, and the storage and computing of large-scale data such as artificial intelligence and program development cannot be compared with cloud computing.

The processing power of cloud computing for time-sensitive business is not as convenient as that of edge computing

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