Nowadays　an　increasing　number　of　companies　and　organizations　choose　to　deploy　their　applications　in　data　centers　to　leverage　resource　sharing.　The　increase　in　tasks　of　multiple　applications,　however,　makes　it　challenging　for　a　provider　to　maximize　its　revenue　by　intelligently　scheduling　tasks　in　its　software-defined　networking　(SDN)-enabled　data　centers.　Existing　SDN　controllers　only　reduce　network　latency　while　ignoring　virtual　machine　(VM)　latency,　which　may　lead　to　revenue　loss.　In　the　context　of　SDN-enabled　data　centers,　this　paper　presents　a　workload-aware　revenue　maximization　(WARM)　approach　to　maximize　the　revenue　from　a　data　center　provider＇s　perspective.　Its　core　idea　is　to　jointly　consider　the　optimal　combination　of　VMs　and　routing　paths　for　tasks　of　each　application.　This　work　compares　it　with　state-of-the-art　methods,　experimentally.　The　results　show　that　WARM　yields　the　best　schedules　that　not　only　increase　the　revenue　but　also　reduce　the　round-trip　time　of　tasks　for　all　applications.