Abstract: Methods, systems, and computer program products for load profile selection in islanding using batteries are provided herein. A computer-implemented method includes generating a usage pattern model for a battery based on (i) information pertaining to consumers of the battery, (ii) information pertaining to usage of the battery, and (iii) information pertaining to network outages, wherein the network is linked to the battery; selecting a subset of the consumers of the battery to supply energy from the battery, during a network outage, based on (i) the usage pattern model, (ii) the lifespan of the battery, (iii) performance of the network, (iv) historical consumption data attributed to each of the consumers, and (v) a predetermined minimum amount of energy required to be supplied to the consumers during a network outage; and outputting instructions to activate and/or deactivate distribution components within the network based on said selecting.

Abstract: Methods, systems, and computer program products for load profile selection in islanding using batteries are provided herein. A computer-implemented method includes generating a usage pattern model for a battery based on (i) information pertaining to consumers of the battery, (ii) information pertaining to usage of the battery, and (iii) information pertaining to network outages, wherein the network is linked to the battery; selecting a subset of the consumers of the battery to supply energy from the battery, during a network outage, based on (i) the usage pattern model, (ii) the lifespan of the battery, (iii) performance of the network, (iv) historical consumption data attributed to each of the consumers, and (v) a predetermined minimum amount of energy required to be supplied to the consumers during a network outage; and outputting instructions to activate and/or deactivate distribution components within the network based on said selecting.

Abstract: A computer-implemented method of load balancing including calculating an expected cost set associated with an application-specific task of an application executing on a processing resource in a cloud computing environment, and communicating the expected cost set from the processing resource to a cloud management system. Resource mapping of applications currently executing in the cloud computing environment are retrieved, the application-specific task is assigned to a specific computational resource in the cloud computing environment based on the expected cost set and the resource mapping of applications currently executing in the cloud computing environment. A task to VM (virtual machine) assignment is determined based on the assignment of the application-specific task to the specific computational resource. The task to VM assignment is transferred from the cloud management system to the application executing on the processing resource in the cloud computing environment.

Abstract: A non-transitory computer-implemented method of load balancing includes calculating an expected cost set associated with an application-specific task of an application executing on a processing resource in a cloud computing environment, and communicating the expected cost set from the processing resource to a cloud management system. Resource mapping of applications currently executing in the cloud computing environment are retrieved, and the application-specific task is assigned to a specific computational resource in the cloud computing environment based on the expected cost set and the resource mapping of applications currently executing in the cloud computing environment. A task to VM (virtual machine) assignment is determined based on the assignment of the application-specific task to the specific computational resource. The task to VM assignment is transferred from the cloud management system to the application executing on the processing resource in the cloud computing environment.

Abstract: A non-transitory computer-implemented method of load balancing includes calculating an expected cost set associated with an application-specific task of an application executing on a processing resource in a cloud computing environment, and communicating the expected cost set from the processing resource to a cloud management system. Resource mapping of applications currently executing in the cloud computing environment are retrieved, and the application-specific task is assigned to a specific computational resource in the cloud computing environment based on the expected cost set and the resource mapping of applications currently executing in the cloud computing environment. A task to VM (virtual machine) assignment is determined based on the assignment of the application-specific task to the specific computational resource. The task to VM assignment is transferred from the cloud management system to the application executing on the processing resource in the cloud computing environment.

Abstract: A computer-implemented method of load balancing including calculating an expected cost set associated with an application-specific task of an application executing on a processing resource in a cloud computing environment, and communicating the expected cost set from the processing resource to a cloud management system. Resource mapping of applications currently executing in the cloud computing environment are retrieved, the application-specific task is assigned to a specific computational resource in the cloud computing environment based on the expected cost set and the resource mapping of applications currently executing in the cloud computing environment. A task to VM (virtual machine) assignment is determined based on the assignment of the application-specific task to the specific computational resource. The task to VM assignment is transferred from the cloud management system to the application executing on the processing resource in the cloud computing environment.