This　article　combines　traditional　scheduling　algorithms＇　characteristic　with　newly　multiplexing　method　for　stream　media,　integrates　two　kinds　of　multiplexing　models　with　monopolizing　buffer　and　sharing　buffer,　and　an　efficient　statistical　multiplexing　strategy　is　proposed　that　is　suitable　for　VBR　real-time　stream.　This　multiplexing　strategy　creates　different　weight　formulas　for　two　buffer　levels　respectively:　in　the　first　level　non-loss　multiplexing　is　carried　on,　and　weight　factor　is　calculated　by　data　storage　and　arrival　order　from　each　channel,　so　who　has　the　largest　weight　value　will　be　dispatched　at　top　priority;　the　second　level　is　compatible　non-loss　with　loss　multiplexing,　and　weight　equation　is　established　by　the　importance　as　well　as　overflow　of　data,　finally　who　has　the　smallest　weight　value　will　be　dropped　firstly.　Through　theoretical　analysis　and　simulation　test,　it　indicates　that　this　kind　of　statistical　multiplexing　strategy　which　uses　least　buffer　and　does　less　harm　to　data　can　carry　the　maximum　transport　rate,　thus　is　more　advantageous　in　raising　channel　utilization.