Region-Based Virtual World Simulation for Scalable State Synchronization
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Solution Overview
Problem
Existing virtual-world platforms struggle to efficiently support massive-scale virtual worlds with thousands of interacting users, as they face challenges in achieving consistent and scalable simulation across client devices due to the all-to-all web of interactions and state synchronization.
Innovation Solution
A distributed database system is implemented, where virtual-experience models and scripts are grouped into regions based on locality, and assigned to virtual-experience servers, with workload balancing and dynamic reassignment to maintain efficient simulation and synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If virtual-world platforms use centralized simulation architecture, then state synchronization is simplified, but scalability is limited and latency increases for massive-scale worlds
Solution Approach 1:
The virtual world is divided into multiple spatial regions, each simulated by a dedicated server. This segmentation allows the system to scale to thousands of users by distributing simulation load across multiple servers while maintaining synchronization through region-based state management.
Solution Approach 2:
The patent introduces a spatial dimension to the simulation architecture by organizing users and simulation data into geographic regions. This dimensional organization enables scalable distribution while maintaining synchronization consistency through region-specific state management.
2Reliability
If all virtual-experience models and scripts are loaded on each server, then simulation consistency is maintained, but memory consumption and processing overhead increase
Solution Approach 1:
Each server loads only the virtual-experience models and scripts relevant to its assigned region rather than all models globally. This local quality approach reduces memory consumption per server while maintaining simulation consistency through selective loading based on spatial locality.
Solution Approach 2:
The set of virtual-experience models and scripts is segmented into region-specific subsets. Each server manages only its portion, reducing overall memory consumption while maintaining consistency through coordinated region-based simulation.
3Productivity
If the virtual world is divided into regions with different sets of models and scripts, then processing efficiency improves, but system complexity increases
Solution Approach 1:
The virtual world is segmented into regions with localized model and script sets, improving processing efficiency by reducing the computation scope per server. The coordination complexity is managed through a standardized region assignment framework.
Solution Approach 2:
The system dynamically assigns regions to servers based on workload characteristics and server capacity. This dynamic adaptation optimizes processing efficiency while managing complexity through automated load balancing rather than static complex configurations.
4Stability of the object's composition
If workload is statically assigned to servers, then system stability is improved, but load balancing capability deteriorates
Solution Approach 1:
Server-region assignments are made dynamic rather than static. The system continuously monitors workload characteristics and server capacity, reassigning regions to optimize load distribution while maintaining stability through controlled transition mechanisms.
Solution Approach 2:
The system implements feedback loops that monitor workload characteristics and server performance, using this information to dynamically adjust region assignments. This feedback mechanism maintains stability while enabling adaptive load balancing.
Data Source
AI summary
According to one aspect of the present disclosure, a computer-implemented method of a virtual-experience coordinator is provided. The computer-implemented method includes determining, by a processor, a plurality of regions associated with a virtual experience. Each of the plurality of regions is associated with a different set of virtual-experience models and virtual-experience scripts. The computer-implemented method includes assigning, by the processor, each of the plurality of regions to a respective virtual-experience server of a plurality of virtual-experience servers. The computer-implemented method includes causing, by the processor, each of the plurality of virtual-experience servers to simulate its assigned region.


