On Minimizing the Completion Times of Long Flows Over Inter-Datacenter WAN

Long flows contribute huge volumes of traffic over inter-datacenter WAN. The flow completion time (FCT) is a vital network performance metric that affects the running time of distributed applications and the users’ quality of experience. Flow routing techniques based on propagation or queuing latency or instantaneous link utilization are insufficient for minimization of the long flows’ FCT. We propose a routing approach that uses the remaining sizes and paths of all ongoing flows to minimize the worst case completion time of incoming flows assuming no knowledge of future flow arrivals. Our approach can be formulated as an NP-Hard graph optimization problem. We propose <italic>BWRH</italic>, a heuristic to quickly generate an approximate solution. We evaluate <italic>BWRH</italic> against several real-WAN topologies and two different traffic patterns. We see that <italic>BWRH</italic> provides solutions with an average optimality gap of less than 0.25%. Furthermore, we show that compared with other popular routing heuristics, <italic>BWRH</italic> reduces the mean and tail FCT by up to <inline-formula> <tex-math notation="LaTeX">$1.46\times $ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$1.53\times $ </tex-math></inline-formula>, respectively.