This　paper　investigates　event-triggered　distributed　control　of　networked　large-scale　systems　under　simultaneous　consideration　of　network　dynamics.　Based　on　an　information　dispatching　middleware,　a　framework　of　networked　distributed　large-scale　systems　is　established.　In　terms　of　the　middleware,　the　information　selection　module　is　developed　to　regulate　the　transmission　of　the　sampled　data　by　means　of　a　novel　event-triggered　scheme.　In　the　congestion　avoidance　module,　a　real-time　scheduling　strategy　is　proposed　such　that　the　released　sampled　output　measurement　data　is　transmitted　within　the　allowable　transmission　network-induced　delay.　By　employing　Lyapunov-Krasovskii　functional　theory,　sufficient　conditions　are　derived　such　that　the　large-scale　distributed　system　can　achieve　a　prescribed　H　∞　performance.　Then　the　suitable　distributed　controllers　and　network　congestion　controllers　can　be　co-designed　provided　that　a　set　of　linear　matrix　inequalities　is　feasible.　Finally,　an　example　is　given　to　illustrate　the　merits　and　effectiveness　of　the　proposed　method.　©　2017　IEEE.