Abstract: A network usage plan is constructed using a network usage prediction model. The network usage plan comprises a first time and a first desired network configuration to be implemented at the first time. A network is configured according to the first desired network configuration for use at the first time. Responsive to determining, during a time period in which the network is configured according to the first network configuration, that a usage requirement has changed more than a threshold amount, the network is reconfigured according to a second network configuration meeting the changed usage requirement.

Abstract: An approach for managing workload deployment in a distributed network, including edge computing is provided. The approach includes deploying several modules, such as, EMM (energy management module), LDM (localized deployment manager) and EDM (edge deployment manager). These modules will be constantly monitoring and managing the energy consumption at the edge nodes under their purview and communicate with other modules to develop a holistic energy management system (e.g., energy policies, energy algorithms, energy plans, etc.) to ensure the most effective energy management of workload is implemented.

Abstract: An approach for managing workload deployment in a distributed network, including edge computing is provided. The approach includes deploying several modules, such as, EMM (energy management module), LDM (localized deployment manager) and EDM (edge deployment manager). These modules will be constantly monitoring and managing the energy consumption at the edge nodes under their purview and communicate with other modules to develop a holistic energy management system (e.g., energy policies, energy algorithms, energy plans, etc.) to ensure the most effective energy management of workload is implemented.

Abstract: According to one embodiment, a method, computer system, and computer program product for aiding a user in the preparation and completion of a dish within a social sensory recipe program are provided. The present invention may include capturing one or more characteristics comprising an aroma of a dish associated with a recipe using one or more sensors, wherein the one or more sensors comprise an olfactory sensor; identifying, at two or more steps of the recipe comprising a recipe profile, one or more aroma profiles of the dish based on the captured one or more characteristics comprising the aroma; comparing the one or more aroma profiles of the dish to one or more aroma profiles comprising the recipe profile; and responsive to the comparing, providing feedback of the dish to a user.

Abstract: A computer-implemented method for generating an aroma map is disclosed. The computer-implemented method includes learning one or more aromas associated with one or more items. The computer-implemented method further includes identifying a presence of an item within a venue based on comparing one or more aromas detected by one or more sensors located within the venue with one or more learned aromas associated with the item. The computer-implemented method further includes identifying a micro-location of the item based, at least in part, on a location of the one or more sensors which detected the aroma. The computer-implemented method further includes generating an aroma map geospatially indicating the micro-location of the item within the venue.