Temporarily　storing　delay-tolerant　data　at　peak　hours　and　forwarding　the　data　at　off-peak　hours,　i.e.,　performing　Store-and-Forward　(SnF)　using　datacenter　storage,　can　mitigate　peak-hour　congestion　and　exploit　off-peak-hour　bandwidth　in　inter-datacenter　networks.　Most　prior　studies　considered　a　case　where　all　nodes　along　their　routing　paths　provided　SnF　options　for　the　scheduling　decision　making.　Intuitively,　their　solutions　maximize　the　scheduling　flexibility.　However,　the　computational　complexity　of　their　solutions　increases　exponentially　with　the　hop　count.　Meanwhile,　SnF　operations　are　generally　performed　on　a　portion　of　nodes　rather　than　every　node　along　the　path.　Thus,　the　considered　case　seems　to　be　unnecessary　in　practice.　In　this　paper,　our　studies　reveal　that　desirable　performance　can　be　attained　by　involving　a　portion　of　nodes　rather　than　all　nodes　along　the　path　in　the　decision　making.　Thus,　we　propose　a　partial　SnF　scheduling　method,　which　involves　a　portion　of　nodes　in　scheduling　and　introduces　a　network　abstraction　based　on　the　involved　nodes.　Simulations　demonstrate　that　the　proposed　method　has　lower　complexity　while　achieving　high　performance.