Distributed 3D Keyspace for Scalable Multi-Player Simulation
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Solution Overview
Problem
Existing computer simulation systems face performance degradation and increased risk of server failures when handling large loads, leading to potential crashes and a poor user experience in multi-player games, especially as the number of players increases.
Innovation Solution
Implementing a scalable 3D simulation using a distributed 3D keyspace, where nodes dynamically allocate and manage volumes of simulation space, utilizing a consistent hashing algorithm to maintain load balance and fault tolerance, allowing for efficient distribution of entities and state management across multiple nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple servers are used to handle large load, then the simulation can handle more players, but the chance of server failures increases
Solution Approach 1:
The simulation world is divided into multiple servers, each responsible for a specific zone or set of entities. This segmentation allows the system to handle large numbers of players by distributing the load across multiple servers while maintaining reliability through zone-based architecture where failures are isolated to specific zones rather than affecting the entire simulation.
Solution Approach 2:
The patent introduces dynamic parameters including player position coordinates, server capacity thresholds, and load balancing factors that change based on real-time conditions. Servers dynamically adjust their operations based on these parameters to optimize both player capacity and failure prevention.
2Quantity of substance
If a large number of servers are used, then the simulation can handle more entities, but the complexity of managing the simulation increases
Solution Approach 1:
Entities are segmented and assigned to specific servers based on their positions in the simulation world. Each server manages only the entities within its assigned zone, which simplifies management complexity while enabling the system to handle large quantities of entities through distributed responsibility.
Solution Approach 2:
The patent introduces a keyspace management system that acts as an intermediary between players and servers. This keyspace maps player positions to responsible servers, automatically handling the complexity of entity distribution and server selection without requiring manual management of the large number of servers.
3Productivity
If servers are overloaded to handle more players, then the simulation can support higher player counts, but performance degrades
Solution Approach 1:
The simulation is segmented into zones with dedicated servers, preventing any single server from becoming overloaded. Each server handles a manageable subset of players, maintaining performance speed while supporting high overall player counts through the collective capacity of multiple servers.
Solution Approach 2:
The system dynamically assigns players to servers based on real-time position data and server capacity. When players move between zones or servers approach capacity thresholds, the system dynamically redistributes players to maintain optimal performance levels across all servers.
Data Source
AI summary
A simulation environment (e.g., multi-player game) may be hosted by multiple nodes of a provider network. The number of nodes may increase or decrease, depending on the load on the simulation. Each node may be assigned a root key that includes 3D coordinates. The nodes may maintain a circular keyspace that includes the x-axis coordinates, the y-axis coordinates, and the z-axis coordinates, according to a consistent hashing algorithm. A given node may have any number of successor or predecessor nodes along each axis keyspace. If load on a particular node increases above a threshold amount, a new node may be allocated and insert itself into the 3D keyspace, taking over authority for any entities that are located within a portion of the volume that was previously managed by the particular node.