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In addition to traditional concerns such as throughput and latency, freshnessis becoming increasingly important. To stay fresh, applications stream statusupdates among their components. Existing studies propose the metric age ofinformation (AoI) to gauge the freshness and design systems to achieve low AoI.Despite active research in this area, existing results are not applicable togeneral wired networks for two reasons. First, they focus on wireless settingswhere AoI is mostly affected by interference and collision while queueing ismore dominant in wired settings. Second, the legacy drop-adverse flows are nottaken into account in the literature. Scheduling mixed flows with distinctperformance objective is not yet addressed.  In this paper, we study wired networks shared by two classes of flows, aimingfor high throughput and low AoI respectively, and achieve a good trade-offbetween their throughput and AoI. Our approach to the problem consists of twolayers: freshness-aware traffic engineering (FATE) and in-network freshnesscontrol (IFC). FATE derives sending rate/update frequency for flows viaoptimization, and its solution is then enforced by IFC through efficientscheduling mechanisms at each outport of in-network nodes. We also presentefficient Linux implementation of IFC and demonstrate the effectiveness ofFATE/IFC through extensive emulations. Our results show that it is possible totrade a little throughput (5 % lower) for much shorter AoI (49 to 71% shorter)compared to state-of-the-art traffic engineering.

Trading Throughput for Freshness: Freshness-Aware Traffic Engineering and In-Network Freshness Control