With the increasing adoption of cloud computing, organizations are migrating their business processes to the cloud in order to quickly adapt to changes of requirements at lower costs, in a multi-tenancy manner. In such environment, using configurable BPs allows for various tenants to share a reference process which can be customized depending on their needs. Nevertheless, there is a lack of support for cloud-specific resource configuration in an energy efficient way. In this paper, we cope with this gap by proposing a genetic-based approach that aims at selecting optimal cloud resources configuration allocation w.r.t cloud resource properties (i.e., elasticity and shareability), and process non functional properties associated to the ecological characteristics, namely green properties