The　increasing　demand　of　bulk　data　transfer　imposes　significant　challenges　in　inter-datacenter　networks　that　span　multiple　domains.　Storing　data　temporarily　at　domain　borders　and　forward　it　at　later　off-peak　hours　(SnF)　can　reduce　congestion　and　improve　network　utilization.　However,　performance　gains　from　SnF　transfer　still　requires　further　quantitative　study.　In　this　article,　we　model　deadline-constrained　SnF　transfers　in　networks　with　congested　inter-domain　links,　where　traffic　has　slightly　varying　peak　hour　and　diurnal　patterns.　A　closed-form　estimation　for　the　two-links　case　is　derived　to　quantify　the　performance　gain　of　intermediate　storage　(IS)　and　edge　storage　(ES).　Our　study　shows　that　if　bulk　data　transfer　requests　arrive　with　equal　probability　in　a　day,　increase　the　allowed　waiting　time　will　increase　the　successful　transfer　probability　linearly.　Increasing　the　aggregated　network　load,　defined　as　the　summed　duration　of　the　background　traffic　peak-hour　and　data　transfer,　will　result　in　linear　decrease　in　successful　transfer　probability,　when　the　network　is　moderately　loaded.　Our　research　also　shows　that　IS　has　significant　advantages　over　ES　under　heavy　network　load,　and　the　maximum　benefit　occurs　when　the　allowed　waiting　time　is　two　times　the　aggregated　network　load.