👉 LB (Low Latency Blocking) computing is a network architecture designed to minimize latency and maximize throughput in distributed systems, particularly for applications that require real-time or near-real-time responses. It achieves this by grouping small, independent data units into "blocks" that are processed in a contiguous manner, rather than individual requests being handled one by one. This approach reduces the overhead associated with context switching and inter-process communication, as each block can be processed independently by a separate worker node. By doing so, LB computing ensures that each request is handled quickly and efficiently, making it ideal for applications such as online gaming, financial trading platforms, and IoT systems where low latency is critical. Additionally, LB computing often incorporates techniques like pipelining and caching to further enhance performance and scalability.
