Abstract: A computer-implemented method that identifies resource efficiency deficit score infrastructure resources in cloud environments based on attributes that influence carbon emission controls at least one of the infrastructure resources based on the infrastructure resource efficiency deficit score of that the infrastructure resource. The infrastructure resource efficiency deficit score can equal BVt/(WBt+BVt), where BVt is a best value point and WBt is a worst value point. According to other illustrative embodiments, a computer system and a computer program product for identifying resource efficiency deficit score infrastructure resources in cloud environments are provided.

Abstract: Systems and methods are disclosed herein for optimizing carbonization benefit based on sustainability design principles. A method for optimizing carbonization benefit based on sustainability design principles reading a plurality of sustainability design principles associated with an organization; assigning each sustainability design principle of the plurality of sustainability design principles to one of a plurality of IT categories; computing, based on the design principles assigned to each IT category, a percentage carbon footprint for each of the plurality of sustainability design principles and for each of the IT categories; selecting, based on the computed percentage carbon footprints for each of the IT categories, a most impactful IT category; generating a sorted priority list of sustainability design principles within the most impactful IT category; and recommending an action plan to maximize carbonization benefit to the organization based on the sorted priority list of carbon footprint savings.

Abstract: Application migration recommendation based on energy consumption includes receiving time series data of application energy consumption and application usage metrics associated with an application being considered for migration in a computing environment. Energy aware design catalog having a list of design patterns for migration and associated design detection functions is provided. For each of the design patterns listed in the energy aware design catalog, a design detection function associated with a design pattern is run using the time series data of application energy consumption and application usage metrics, where the design detection function outputs whether the application is suitable for transformation using the design pattern and projected energy savings if the transformation is implemented using the design pattern. A design pattern estimated to have largest projected energy savings is returned as recommended migration for the application.

Abstract: A workload allocation engine is configured to allocate a workload in a cloud architecture. A data center for an enterprise is identified, and for the data center, a plurality of servers within the data center and a plurality of virtual machines (VMs) running on the servers are identified. Based upon at least one predetermined factor, a plurality of clusters of the servers generated. For each of the clusters, a plurality of time-series variables are tracked. For each of the clusters and the workload, carbon emissions generated by a particular cluster and for the workload are predicted. The workload is assigned to the particular cluster based upon the predicted carbon emissions associated with the particular cluster, and the workload is performed by the particular cluster.

Abstract: An unmanned aerial vehicle includes a blade that is configured to rotate relative to a body of the unmanned aerial vehicle to enable the unmanned aerial vehicle to fly. The blade defines at least one cavity. The blade includes a power source and an auxiliary rotor configured to use the power source to rotate relative to the blade to cause the blade to fly. The auxiliary rotor is configured to withdraw into the at least one cavity. The blade is configured to decouple from the unmanned aerial vehicle. The auxiliary rotor is configured to extend from the at least one cavity and cause the blade to fly such that the blade navigates away from the unmanned aerial vehicle using the auxiliary rotor.

Abstract: An unmanned aerial vehicle includes a blade that is configured to rotate relative to a body of the unmanned aerial vehicle to enable the unmanned aerial vehicle to fly. The blade defines at least one cavity. The blade includes a power source and an auxiliary rotor configured to use the power source to rotate relative to the blade to cause the blade to fly. The auxiliary rotor is configured to withdraw into the at least one cavity. The blade is configured to decouple from the unmanned aerial vehicle. The auxiliary rotor is configured to extend from the at least one cavity and cause the blade to fly such that the blade navigates away from the unmanned aerial vehicle using the auxiliary rotor.