Studying　the　features　of　network　traffic　is　a　necessary　method　in　many　applications　such　as　managing　and　monitoring　the　network,　detecting　network　attack　etc.　Due　to　the　non-stationary　and　random　characteristics　of　the　traffic　signal,　Hilbert-Huang　Transformation(HHT)　is　an　effective　method　in　signal　processing.　However,　endpoints　effect　comes　subsequently　in　HHT.　In　this　particular　case,　the　paper　introduces　a　multiple　residual　error　gray　forecast　method　to　realize　data　continuation　so　as　to　inhibiting　endpoints　effect　in　applying　HHT　to　network　traffic　signal.　Experimental　results　show　that　this　method　can　effectively　restrain　the　endpoint　divergence　phenomenon　in　applying　HHT　to　network　traffic　signal,　but　it　is　not　applicable　to　deterministic　signals.　©　2010　IEEE.