👉 Lanes math is a mathematical framework used to analyze and optimize the flow of data or resources through a network, particularly in distributed systems like cloud computing or large-scale data processing. It extends traditional graph theory by introducing "lanes"—paths or routes that connect nodes (data points or services) in a network, enabling more efficient data routing and resource allocation. By modeling the network as a graph with lanes as edges, lanes math quantifies metrics like throughput, latency, and bandwidth utilization along these lanes, allowing for the identification of bottlenecks, optimization of data paths, and dynamic resource allocation. This approach is critical for designing scalable systems, as it provides a structured way to balance load, minimize delays, and maximize efficiency in complex, interconnected environments.
