With　the　explosion　in　the　number　of　Internet　of　things　(IoT)　and　connected　vehicle　networks　in　smart　city,　the　challenges　to　meet　the　demands　from　both　data　traffic　delivery　and　data　computing　are　increasingly　prominent,　and　the　allocation　of　network　resources　has　attracted　great　attention.　A　novel　network　architecture　based　on　mobile　edge　computing　(MEC)　was　proposed　in　this　paper　to　incorporate　connected　vehicle　networks　and　IoT　networks　to　transmit　the　delay-tolerant　data　and　execute　the　computing　tasks.　In　order　to　integrate　diverse　and　complex　standards　and　protocols　in　the　same　network,　the　programmable　control　principle　originated　from　software-define　networking　(SDN)　paradigm　was　introduced.　Moreover,　the　process　of　delay-tolerant　data　transmission　and　computing　node　selection　in　software-defined　vehicle　network　was　formulated　as　a　partially　observable　Markov　decision　process　(POMDP)　to　minimize　the　system　cost,　which　consists　of　both　the　network　overhead　and　execution　time　of　computing　tasks.　Simulation　results　show　that　the　system　cost　can　be　decreased　efficiently　compared　with　the　existing　schemes,　the　processing　time　of　computing　tasks　can　be　shorten　and　the　computing　efficiency　can　be　improved.　Furthermore,　the　arrival　rate　of　delay-tolerant　data　can　also　be　ensured　within　the　delay　requirements.　©　2018,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.