How do autonomous networks self-optimize during periods of peak traffic to maintain performance?
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Autonomous networks utilize advanced algorithms and AI-driven mechanisms to self-optimize during periods of peak traffic. This optimization process involves dynamically allocating resources, adjusting bandwidth, rerouting traffic, and implementing quality of service measures to ensure performance levels are maintained. Through real-time monitoring, analysis of network conditions, and predictive modeling, autonomous networks can adapt and optimize their configurations to handle fluctuations in traffic demands efficiently.