Dynamic Throttling is an adaptive system control mechanism that automatically adjusts the rate of requests or data processing based on real-time system load, resource availability, or predefined performance thresholds, crucial in high-volume crypto environments. Its function is to prevent system overload.
Mechanism
The system continuously monitors metrics such as API call rates, transaction queue lengths, or network latency. When thresholds are approached or exceeded, the throttling algorithm temporarily limits incoming traffic, prioritizes critical operations, or delays less urgent requests to maintain system stability and prevent cascading failures.
Methodology
Implementing dynamic throttling ensures service reliability and fair resource distribution across users or applications in a shared infrastructure. This strategic approach mitigates denial-of-service attacks, prevents cascading failures during market volatility, and optimizes resource utilization for crypto exchanges and smart trading platforms, thereby safeguarding operational continuity.
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