Delay　is　one　of　the　network　performance　parameters　that　are　often　measured　using　passive　or　active　techniques　along　with　packet　loss,　bandwidth,　etc.　If　used　appropriately,　these　parameters　can　indicate　performance　status　of　the　network,　and　they　can　be　used　in　fault　and　performance　management,　network　provisioning,　traffic　engineering,　and　performance　prediction.　However,　it　is　difficult　to　extract　sufficient　information　from　original　measurement　data　to　derive　precise　results.　In　this　paper,　we　show　that　the　CDF　(probability　distribution　function)　of　delay　data　can　indicate　network　load　situation.　We　also　show　that　Pareto　distribution　can　model　end-to-end　delay　appropriately　in　a　statistical　manner　and　demonstrate　some　statistical　characteristics　of　end-to-end　delay　using　Pareto　distribution.　©　2007　IEEE.