Adaptive Routing
A dynamic networking technique that adjusts data paths in real time to optimize performance and reliability.
Adaptive routing is a networking method in which the path that data packets take through a network is continuously adjusted based on current conditions. Unlike static routing, adaptive algorithms monitor factors such as congestion, link failures, and traffic patterns to dynamically select optimal routes.
This approach is particularly beneficial in AI cloud networks and distributed systems, where traffic loads and resource availability can change rapidly. By adapting to real-time conditions, adaptive routing helps ensure efficient data delivery, minimize latency, and avoid network bottlenecks, supporting the high bandwidth and low-latency demands of modern workloads.
Implementing adaptive routing can increase network complexity and requires robust monitoring and control mechanisms. However, its ability to enhance performance and resilience makes it a key feature in advanced cloud and AI networking architectures.