Distributed Virtual-World Database for Scalable Region Simulation
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Solution Overview
Problem
Existing virtual-world platforms struggle to efficiently support massive-scale virtual experiences with thousands of users due to challenges in simulating consistent and scalable interactions across client devices, particularly in maintaining the all-to-all web of potential interactions and state synchronization.
Innovation Solution
A distributed database system is implemented, where regions within a virtual experience are assigned to virtual-experience servers based on workload thresholds and locality, with dynamic reassignment and synchronization of virtual-experience models and scripts, ensuring efficient resource allocation and consistent simulation across servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single virtual-experience server simulates the entire virtual world, then state consistency is maintained, but the system cannot scale to support thousands of users
Solution Approach 1:
The virtual world is divided into multiple regions, with each region assigned to a different virtual-experience server. This segmentation allows the system to scale across multiple servers while maintaining state consistency within each region, resolving the contradiction between supporting thousands of users and maintaining reliable state management.
2Productivity
If regions are dynamically reassigned based on workload, then resource utilization is optimized, but system complexity increases
Solution Approach 1:
The system implements dynamic region reassignment where virtual-experience servers can be reassigned regions based on workload characteristics. This dynamic approach optimizes resource utilization by balancing load across servers, while the automated nature of the reassignment process manages the inherent complexity.
Solution Approach 2:
The system monitors workload characteristics of virtual-experience servers and uses this feedback to make informed reassignment decisions. This feedback mechanism enables automated optimization of resource allocation, improving productivity while managing system complexity through rule-based decision making.
3Productivity
If virtual-experience models and scripts are distributed across servers, then scalability is achieved, but synchronization difficulty increases
Solution Approach 1:
Each virtual-experience server maintains local copies of virtual-experience models and scripts specific to its assigned region. This local quality approach enables servers to operate independently with their own data, achieving scalability while minimizing synchronization requirements to only boundary cases between regions.
4Productivity
If workload thresholds are used for region assignment, then load balancing is improved, but assignment precision requirements increase
Solution Approach 1:
The system uses workload characteristics as parameters for region assignment decisions, comparing actual workload against predefined thresholds. This approach improves load balancing by automatically adjusting region assignments based on measured workload, while the threshold-based comparison method provides sufficient precision without requiring extremely fine-grained measurements.
Data Source
AI summary
A computer-implemented method includes obtaining, by a processor, an initial version of a set of tables associated with a region of a virtual experience. Each row contains information associated with a virtual object located in a corresponding portion of the region. The method includes simulating, by the processor, the initial frame of the region of the virtual experience based at least in part on the initial version of the set of tables. The method includes generating, by the processor, an updated version of the set of tables associated with the region based on one or more first changes to a first virtual object in the region of the virtual experience. The method includes simulating, by the processor, the subsequent frame of the region of the virtual experience based at least in part on the updated version of the set of tables.