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We propose a Green Cloudlet Network (\emph{GCN}) architecture to provideseamless Mobile Cloud Computing (\emph{MCC}) services to User Equipments(\emph{UE}s) with low latency in which each cloudlet is powered by both greenand brown energy. Fully utilizing green energy can significantly reduce theoperational cost of cloudlet providers. However, owing to the spatial dynamicsof energy demand and green energy generation, the energy gap among differentcloudlets in the network is unbalanced, i.e., some cloudlets' energy demandscan be fully provided by green energy but others need to utilize on-grid energy(i.e., brown energy) to satisfy their energy demands. We propose a Green-energyawarE Avatar migRation (\emph{GEAR}) strategy to minimize the on-grid energyconsumption in GCN by redistributing the energy demands via Avatar migrationamong cloudlets according to cloudlets' green energy generation. Furthermore,GEAR ensures the Service Level Agreement (\emph{SLA}) in terms of the maximumAvatar propagation delay by avoiding Avatars hosted in the remote cloudlets. Weformulate the GEAR strategy as a mixed integer linear programming problem,which is NP-hard, and thus apply the Branch and Bound search to find itssub-optimal solution. Simulation results demonstrate that GEAR can save on-gridenergy consumption significantly as compared to the Follow me AvataR(\emph{FAR}) migration strategy, which aims to minimize the propagation delaybetween an UE and its Avatar.

Green Energy Aware Avatar Migration Strategy in Green Cloudlet Networks