PRODUCTS & SOLUTIONS / GUIDE
The Chinese terms 低时延 and 低延迟 generally both mean low latency in trading systems: reducing elapsed time along a defined data or order path. Annhoo’s relevant products and technologies span protocol components, trading systems, servers and path observability. Agree measurement boundaries before prioritizing improvements.
Trading technology leaders, system architects and production operations teams at securities firms, futures firms and private fund managers operating in China.
KEY CONSIDERATION
Specify whether a measurement runs from local market data ingress to order egress, or from order submission to a returning report. These intervals are not directly interchangeable. Across devices, verify clock synchronization and timestamp sources. Map market data, strategy, risk and order stages, then measure them individually to avoid attributing external waiting time to local processing.
KEY CONSIDERATION
A low average does not establish consistent responses. Tail latency describes the slower portion of requests. Network queues, competing host threads and memory access can increase variation. Combine packet capture with system metrics to locate bottlenecks, then assess thread affinity, queue settings and network path changes where relevant. Validate each change under the same workload to determine its actual effect.
KEY CONSIDERATION
Evaluate routine load, traffic bursts and recovery behavior before rollout. Retain configurations, message samples and measurement methods so results can be reproduced. Adjust servers, networking and applications in stages to limit simultaneous changes. After each adjustment, check correctness, latency distributions and monitoring overhead, and define rollback steps alongside the metrics to observe during operation.
FAQ
They generally describe the same objective: less elapsed time along a specified path. Compare measurement endpoints, load, statistics and timestamp sources when assessing systems. The choice of term does not establish a distinct performance level.
A server is one part of the path. Feed processing, network queues, risk logic and application scheduling can also constrain performance. Measure stages first, then determine whether server configuration, operating system tuning and network changes address the observed bottleneck.
Fix measurement boundaries, message samples, load and deployment configuration. Compare correctness and latency distributions, including burst and recovery scenarios. Agree targets from business needs and measured baselines; a component specification alone cannot establish end-to-end performance.
