Abstract: A method includes: receiving, by a computing device, input defining a custom storage class in a first dispersed storage network; receiving, by the computing device, input defining a data management rule in the first dispersed storage network; determining, by the computing device, a data object in the first dispersed storage network satisfies the data management rule; and moving, by the computing device and in response to the determining, the data object to a second dispersed storage network according to the custom storage class.

Abstract: A failure detection and correction module (FDCM) uses statistical measurement to detect failures in a distributed computing system caused by hardware, software, workflow, deployment, environmental factors, etc. in a component of the computing system, the computing system, or multiple computing systems and produces corrective actions. The FDCM identifies issues from various components, correlates the estimated failures in each level of components and rolls up failures and estimated failures from each level of components to system level estimations of failures, reevaluates the system reliability factors, readjusts the system reliability and system functions from the adjusted reliability factors, and produces intelligent corrective actions to improve both system reliability and the system efficiency. Corrective action includes changing slice storing parameters and rebuild priorities on a dispersed storage system.

Abstract: A method includes: receiving, by a computing device, input defining a custom storage class in a first dispersed storage network; receiving, by the computing device, input defining a data management rule in the first dispersed storage network; determining, by the computing device, a data object in the first dispersed storage network satisfies the data management rule; and moving, by the computing device and in response to the determining, the data object to a second dispersed storage network according to the custom storage class.

Abstract: A failure detection and correction module (FDCM) uses statistical measurement to detect failures in a distributed computing system caused by hardware, software, workflow, deployment, environmental factors, etc. in a component of the computing system, the computing system, or multiple computing systems and produces corrective actions. The FDCM identifies issues from various components, correlates the estimated failures in each level of components and rolls up failures and estimated failures from each level of components to system level estimations of failures, reevaluates the system reliability factors, readjusts the system reliability and system functions from the adjusted reliability factors, and produces intelligent corrective actions to improve both system reliability and the system efficiency. Corrective action includes changing slice storing parameters and rebuild priorities on a dispersed storage system.