Nowadays　many　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　data　center　provider　to　maximize　its　revenue　by　intelligently　scheduling　tasks　in　software-defined　networking　(SDN)-enabled　data　centers.　Existing　SDN　controllers　only　reduce　network　latency　while　ignoring　virtual　machine　(VM)　latency,　thus　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.　The　core　idea　is　to　jointly　consider　the　optimal　combination　of　VMs　and　routing　paths　for　tasks　of　each　application.　Comparing　with　state-of-the-art　methods,　the　experimental　results　show　that　WARM　yields　the　best　schedules　that　not　only　increase　the　revenue　but　also　reduce　the　round-trip　time　of　tasks　of　all　applications.