Coordinate-Grid State Distribution for Scalable Peer-to-Peer Meshes
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Solution Overview
Problem
Existing peer-to-peer mesh networks face challenges in maintaining reliable connections between participants, particularly in large populations, due to resource intensity, scalability limitations, and asynchronous state updates, leading to reduced stream quality and potential connection failures.
Innovation Solution
A system that distributes client authoritative states in a peer-to-peer mesh network, where each participant manages its own state within a coordinate grid environment, using a local signal cache to store peer-to-peer connection initiation signals and offloads state calculations to individual clients, reducing reliance on central servers for real-time updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If peer-to-peer mesh topologies are used to stream video and audio between participants, then personal interaction quality is improved, but the number of streams per participant increases causing stream quality degradation and session failures
Solution Approach 1:
The system segments the participant population into spatial regions using coordinate grids. Instead of all participants streaming to all others, each participant only streams to those in nearby grid cells. This spatial segmentation reduces the number of active streams per participant while maintaining personal interaction quality for nearby users.
Solution Approach 2:
The system implements local quality by prioritizing stream distribution based on spatial proximity. Participants receive high-quality streams from nearby participants in the same or adjacent grid cells, while reducing or eliminating streams from distant participants. This creates a localized streaming quality that matches the personal interaction needs of nearby users.
2Adaptability or versatility
If the number of participants in a coordinate grid environment is increased, then system scalability is improved, but resource intensity and processing requirements increase
Solution Approach 1:
The coordinate grid environment is segmented into multiple independent grid cells. Each participant only processes and streams data for participants within their local grid cell or adjacent cells, rather than processing data for all participants in the entire environment. This segmentation allows the system to scale to thousands of participants while keeping individual processing resource consumption bounded and manageable.
Solution Approach 2:
Each participant independently determines their own grid cell position and identifies nearby participants without requiring centralized coordination. The system distributes the computational workload across all participants, with each participant self-managing their local streaming relationships. This eliminates the need for a central server to manage all participant connections, enabling scalable deployment.
3Speed
If state updates are propagated through all peer-to-peer connections in the mesh network, then real-time synchronization is improved, but network bandwidth consumption increases
Solution Approach 1:
State updates are propagated only to participants in the same or adjacent grid cells rather than to all participants in the network. This localized propagation maintains real-time synchronization for nearby participants who need the updates, while eliminating unnecessary bandwidth consumption for distant participants who do not require the state changes.
Solution Approach 2:
The network is segmented into spatial regions using coordinate grids. State update propagation is confined to local grid cell boundaries, creating independent propagation zones. This segmentation prevents state updates from traversing the entire network, significantly reducing total network bandwidth consumption while maintaining synchronization speed within each local region.
Data Source
AI summary
A process includes establishing a peer-to-peer connection between a first client computing device and a second client computing device. The first client computing device is associated with a first participant in a coordinate grid environment provided by an application and the second client computing device is associated with a second participant in the coordinate grid environment. The process includes determining that a coordinate grid state of the first participant has experienced a state change, and in response, providing at least a portion of first participant state information associated with the state change from the first client computing device to the second client computing device via the peer-to-peer connection such that the at least the portion of the first participant state information updates previously stored first participant state information of the first participant maintained by the second participant associated with the second client computing device.