This　paper　proposed　an　energy-aware　cross-layer　mobile　cloud　resource　allocation　approach.　In　this　paper,　a　hybrid　cloud　architecture　is　adopted　for　provisioning　mobile　service　to　mobile　device　users,　which　include　nearby　local　cloud　and　remote　public　cloud.　The　computation-intensive　tasks　can　be　processed　by　the　remote　public　cloud,　while　the　delay-sensitive　computation　can　be　processed　by　the　nearby　local　cloud.　On　the　basis　of　the　system　context　and　mobile　user　preferences,　the　energyaware　cross-layer　mobile　cloud　resource　allocation　approach　can　optimize　the　consumption　of　cloud　resource　and　system　performance.　The　cooperation　and　collaboration　among　local　cloud　agent,　public　cloud　supplier,　and　mobile　cloud　user　are　regulated　through　the　economic　approach.　The　energy-aware　cross-layer　mobile　cloud　resource　allocation　is　performed　on　the　local　cloud　level　and　the　public　cloud　level,　which　comprehensively　considers　the　benefits　of　all　participants.　The　energyaware　cross-layer　mobile　cloud　resource　allocation　algorithm　is　proposed,　which　is　evaluated　in　the　experiment　environment,　and　comparison　results　and　analysis　are　discussed.