Non-Relational Database for Dynamic Wagering Game Resource Scaling

The patent implements dynamic computing resource allocation that automatically scales resources based on real-time player activity levels. During peak periods, the system procures additional computing resources to handle increased demand, while during low-demand periods, resources are released or scaled down. This dynamic approach ensures the system maintains reliability during peak times while avoiding unnecessary expenditures during off-peak periods, directly resolving the contradiction between handling peak demand and reducing resource waste.

The patent segments the poker platform into independent, modular table instances that can be dynamically created and managed. Each table operates as a separate unit with its own computing resources, allowing players to join multiple tables simultaneously without creating system-wide complexity. This segmentation enables efficient multitabling by isolating table states and resources, while the underlying infrastructure manages complexity through standardized table templates and resource pooling, thus resolving the contradiction between player productivity and system complexity.