How Does Operating System Kernel Tuning Contribute to Reducing Data Processing Jitter?
Kernel tuning involves configuring the operating system to prioritize the trading application's processes and minimize non-essential background tasks. Techniques include setting CPU affinity, using a real-time kernel, and disabling interrupt coalescing.
These adjustments ensure that the data processing thread is rarely interrupted, leading to more consistent, predictable execution times and significantly reducing data processing jitter.
Glossar
Data Processing
Latency ⎊ Rapid processing of market data, including order book updates and trade executions across global crypto exchanges, is fundamental for maintaining a competitive edge in derivatives trading.
Network Jitter
Variation ⎊ Network jitter is the measurable variation in the time delay, or latency, experienced by successive data packets carrying market data or trade orders across a network path.
Kernel Tuning
Adjustment ⎊ Kernel tuning is the precise adjustment of operating system parameters to minimize overhead and maximize the speed of critical trading processes.