ARS: Adaptive Routing System for Heterogeneous Traffic in Industrial Data Centers

Modern industrial datacenter networks carry latency-sensitive and throughput-oriented applications with diverse requirements. Recent load balancing mechanisms effectively reduce latency and improve throughput for heterogeneous traffic. However, deadline-sensitive flows still often miss deadlines due to being blocked. In this article, we introduce an adaptive routing system (ARS) to avoid missing deadlines. Specifically, an ARS computes a heuristic function using three influence factors, derives the probability of choosing the next node, and finds optimal (re)routing path. The experimental results show that an ARS enhances the throughput for long flows and decreases the average flow completion time and the deadline miss rate by 24% and 55%, respectively, compared to state-of-the-art load balancing schemes.