Web3d application mobile edge cache method based on double-layer dependent perception

By constructing a two-layer dependency-aware model and an online optimization algorithm, the problems of rendering chain breakage and prefetching blindness in caching strategies in Web3D applications are solved, achieving efficient caching decisions and dynamic adaptation, thereby improving the loading performance and user experience of Web3D applications.

CN122152520APending Publication Date: 2026-06-05YUNNAN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
YUNNAN UNIV
Filing Date
2026-03-05
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

Existing edge caching methods in Web3D scenarios suffer from low caching efficiency and poor user experience because they ignore micro-module dependencies, leading to rendering chain breaks, fail to capture macro-behavioral dependencies resulting in blind prefetching, are disconnected from optimization goals and experience metrics, and lack the ability to adapt to dynamic environments.

Method used

By constructing a two-layer dependency-aware caching method, a logical dependency model and a spatial dependency model between Web3D application content objects are established. Caching decisions are optimized to improve hit rate and resource loading efficiency. Heuristic algorithms and reinforcement learning are used for online optimization.

Benefits of technology

Significantly improves edge cache hit rate, reduces content loading latency, provides a smooth and stable user experience, and adapts to dynamic changes in network and user behavior.

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Abstract

The application discloses a kind of based on double-layer dependent perception Web3D application mobile edge cache method, first according to the data of content object in Web3D application mobile network, double-layer dependent relationship modeling is carried out, the logical dependence model and space dependence model between Web3D application content object are obtained, then based on double-layer dependent model, mobile edge cache problem with the minimum system expected loading total delay as target is constructed, and edge server carries out caching and replacement to the resource module in each content object according to the cache decision variable matrix obtained by solving.The logical dependence model and space dependence model between Web3D application content object are obtained by double-layer dependent relationship modeling in the application, and caching decision is carried out based on the above two models, and the hit rate and resource loading efficiency of Web3D application mobile edge cache are improved.
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