Data Backup Method Based on Metaverse Service Management

To tackle the challenges of inefficient and inaccurate data processing in the Metaverse, a data backup optimization strategy has been implemented. This strategy commences with the establishment of a data allocation model and a backup node configuration model. Through the calculation of data throughput in work nodes, it evaluates the state of various nodes, pinpointing those overwhelmed by data and those with excess resources. Following this, an optimal data displacement model is formulated, and a corresponding algorithm is designed to enhance data processing efficiency by migrating data based on feedback from backup nodes. Finally, informed by the usage data from the working nodes, data deletion is conducted with the objective of augmenting the storage resources of backup nodes. Experimental outcomes indicate that the data backup optimization strategy can swiftly adapt to changes in node status within the Metaverse, significantly boosting the energy efficiency and resource utilization of Metaverse data processing.