With　the　cloud　paradigm　being　applied　broadly,　how　to　make　an　efficient　scheme　of　resource　placement　regarding　to　the　energy　cost　has　become　a　prerequisite　problem　to　be　solved.　But　nearly　all　of　existing　resource　placement　approaches　always　ignore　the　energy　use　caused　by　virtual　machine　(VM)　dynamical　migration.　In　this　paper,　we　established　the　energy　consumption　model　in　cloud　computing　environment,　and　analyzed　the　energy　use　in　our　model.　Based　on　the　analysis,　we　improved　the　Online　Bin　Packing　algorithm,　and　proposed　a　new　energy-aware　approach　with　consideration　of　energy　efficiency　in　cloud　computing　environment　which　is　composed　of　virtual　machines.　At　the　end　of　this　paper,　we　proved　our　placement　approach　by　simulation　results.　The　simulation　results　show　that　this　algorithm　can　not　only　increase　resource　utilization　rates,　but　also　make　the　data　center　more　energy-efficient.　©　2012　IEEE.