Remote video superposition interactive calculation method based on time delay optimization

Abstract

The invention discloses a remote video superposition interactive computing method based on time delay optimization, which comprises the following steps of: adopting a data multicast form based on a home video service environment, enabling a mobile device and a smart television to acquire independent and complete computing resource data Linuter, wherein on computing control, a cooperative computing control module between computing nodes is used for computing the computing resource data Linuter; setting a computing task undertaken by each computing node, carrying out data communication through a WiFi Direct connection path established between the nodes, and carrying out the following computation in a home network environment: S10, a computing scheduling method which focuses on how to apply computing equipment in a home video environment to carry out computing unloading scheduling; S20, an unloading method of the multi-order interactive operation is carried out; S30, critical condition analysis is carried out to meet the condition that the time delay of different-order cooperative calculation on different nodes is smaller than that of sub-node cooperative unloading calculation; and S40, an algorithm is designed, and it is proved that the same-order unloading calculation of the sub-nodes has shorter time delay compared with the step-by-step cooperative unloading calculation.

Description

technical field [0001] The invention belongs to the field of video technology, and in particular relates to a long-distance video overlay interactive computing method based on time delay optimization. Background technique [0002] There are many influencing factors for smart TVs, including the following points: (1) the impact of high picture quality video content. The core business of smart TV is the playback and carrying of high-quality video content. In the video data service with public Ethernet as the transmission medium represented by the OTT business model, high-quality video data will occupy a large amount of downlink channel network bandwidth for a long time during public network transmission. When the public cloud server is used as the computing offloading server, during the transmission of computing offloading data from the server to the smart TV, it will be affected by the network congestion caused by the transmission of high-quality video data on the public netw...

AI Technical Summary

Problems solved by technology

The server-based offloading strategy for video interactive computing will cause a specific server to undertake a large number of high-density interactive computing in a short period of time

Affected by high-density and multi-concurrent computing, the response delay of computing offloading increases

[0003] The high latency brought about by the above challenges, under the influence of the high coupling characteristics of video and interaction, causes problems such as slow user interaction response and poor video fluency, which affects the quality of user interaction experience.

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