A computational method and system for metaverse

By determining the architecture and edge resource allocation model in the metaverse, the problem of low computing resource allocation efficiency in the metaverse is solved, efficient resource management and user experience improvement are achieved, and massive data processing and real-time interaction needs are met.

CN118426965BActive Publication Date: 2025-01-07广东省空间计算科技集团有限公司
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Patent Information

Application Number
CN202410600692.7
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-05-14
Publication Date
2025-01-07
Estimated Expiration
2044-05-14

AI Technical Summary

Technical Problem

The lack of clear architectural design and unified standards in the development of the metaverse, resulting in low efficiency in computing resource allocation, limited user experience, and high cost, which cannot effectively meet the needs of massive data processing and real-time interaction.

Method used

A calculation method for the metaverse is proposed. By determining the metaverse architecture, collecting user service needs, conducting edge resource surveys and evaluations, establishing a static edge resource allocation model, formulating optimization goals and using genetic algorithms to solve, optimizing the configuration of edge servers , to achieve efficient allocation and management of resources.

Benefits of technology

It has achieved optimization of data transmission paths, improved user experience, reduced latency, improved resource utilization, reduced energy consumption, enhanced system stability and security, met the real-time interaction needs of multiple people, and provided personalized services.

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Abstract

The embodiments of the present invention disclose a computing method and system for the metaverse. The method includes: determining the architecture of the metaverse and collecting user service requirements; conducting an investigation and evaluation of edge resources to determine available edge resources; establishing a static edge resource allocation model based on user service requirements and available edge resources; formulating an optimization target for the static edge resource allocation model; solving the static edge resource allocation model under the optimization target to obtain the optimal configuration of the edge server. The system includes: a demand collection module, a resource confirmation module, a model building module, an optimization target formulation module and a model solving module. The present invention can solve the problem of user demand and edge node resource allocation, so that users can obtain a better metaverse experience at a lower cost.
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Citation Information

Patent Citations

  • Edge computing service resource configuration method and device and electronic equipment

    CN110380891A