Streaming media cache distribution device based on multi-cell user mobility and working method thereof

Abstract

The invention belongs to the field of mobile edge computing, and provides a streaming media cache distribution device based on a dynamic programming algorithm and a multi-cell user mobility and a working method thereof, and the device can collect context perception information of an edge server, and the context perception information comprises a movement track of a user in a cell, a request mode of a terminal, a current network load and a distribution state of server resources. According to the method, a space-time locality principle is considered to carry out abstract analysis on a multi-celloverlapping switching probability of a user, and a popularity cache model and a motion sensing prefetching model are established. On the premise of meeting the constraints of storage, bandwidth and computing resources, an optimization target of maximizing cache benefits is established. An optimal cache placement and replacement decision is made for the server through dynamic programming, and theoverall cache benefit is improved from three aspects of popularity statistics, mobility perception and cost management. According to the device and the method, the average access delay of the terminaland the congestion cost of resources can be effectively reduced, and the cache performance of an edge computing system is improved.

Description

technical field [0001] The invention belongs to the field of mobile edge computing, and relates to a mobile-aware video buffer placement and replacement strategy in a multi-cell overlapping environment, in particular to a streaming media buffer allocation device based on a dynamic programming algorithm for multi-cell user mobility and a working method thereof. Background technique [0002] With the development of communication technology and Internet technology, mobile devices such as tablets and smart phones have been popularized rapidly, and it has become normal for users to access mobile Internet resources through smart terminals. According to the 2018 Cisco Visual Networking Index forecast, global IP traffic is forecast to nearly triple from 2017 to 2022, and by 2022, global monthly mobile data traffic will grow to 396 exabytes (EB). Additionally, as the number of video streams on smartphones and tablets grows, traffic from these devices accounts for an increasing percen...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to overcome the shortcomings in the above-mentioned prior art, and provide a streaming media buffer allocation device and its working method based on multi-cell user mobility, which effectively solves the problem of multiple users concurrently requesting streaming media in a mobile environment. The problem of video storage resource competition reduces request delay and network load, and improves the cache performance of edge computing systems

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