DA & FD-Deadline-aware and flow duration-based rate control for mixed flows in DCNs

Data center has become an important facility for hosting various applications. For data center networks, deadline missing rate and average flow completion time are two main metrics for the performance of applications. In this paper, we find deadline-aware methods can only reduce the percentage of flows missing deadline, while flowsize-aware and information-cumulative methods can only optimize the average flow completion time. However, traffic in data center is the mixture of various flows and focusing on the single goal is not enough. We advocate to incorporate deadline and flow duration time into flow rate control. Then we design DAFD (Deadline-Aware and Flow Duration) based rate control mechanism and analyze its performance in theory. At last, we evaluate DAFD under different topologies, real world traffic and load scenarios, both by simulation and in real testbed. Our results show that DAFD performs close to D²TCP and about 15%, 25%, 30%, 35% better than Ameon, L²DCT, Karuna, DCTCP on deadline missing rate. For average FCT, the performance of DAFD is similar to L²DCT and compared with Ameon, D²TCP, Karuna, DCTCP, DAFD can reduce average FCT by 10%, 15%, 20%, 25%.