Adaptive rate limiting adjusts the number of requests a system accepts based on current conditions. This mechanism dynamically modifies traffic allowances to protect network resources from overload or malicious activity. It observes system performance, such as latency and error rates, to calibrate throughput limits in real-time. Such systems are vital for maintaining service availability and preventing denial-of-service attacks in decentralized networks and digital asset platforms.
Context
In blockchain systems, adaptive rate limiting can help manage transaction volume during peak periods, preventing network congestion and ensuring fair access. Discussions frequently concern balancing security against user experience, particularly regarding transaction finality and fee predictability. Future developments aim for more sophisticated algorithms that integrate predictive analytics for preemptive adjustment.
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