Throughput Management refers to the systematic process of monitoring, controlling, and optimizing the rate at which a system or network processes data or transactions within a given period. This ensures efficient resource utilization and sustained operational capacity.
Mechanism
This involves configuring system parameters such as message queue sizes, processing priorities, and network bandwidth to effectively handle varying operational loads. Techniques like load balancing, rate limiting, and dynamic resource allocation are employed to prevent bottlenecks and maintain consistent processing speed, even during periods of peak activity.
Methodology
In high-frequency crypto trading and RFQ systems, effective throughput management is critical for minimizing latency and maximizing order execution rates. It encompasses continuous performance monitoring, predictive analytics to anticipate load spikes, and adaptive scaling strategies to ensure the infrastructure can reliably support rapid market data dissemination and transaction processing.
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