Abstract: A method and system for recovering from a system failure wherein the failed system is restored to a new system that has different hardware. Hardware state is preserved during a backup process, and following a failure, a restore is performed to the extent possible using that hardware state but on a system having a different hardware configuration. Rules are provided for handling the differences through selective merging, arranging, and replacement of data, with the logic and work performed transparently to the user. Hardware state includes hard disk configuration information, the location (partition) of the operating system, devices installed on the system and any additional drivers to load. When restored, for hardware that is identical, the hardware state is restored as specified in the file. If the hardware state is not identical, then a set of rules are used to restore the hardware state.

Abstract: An apparatus and method to automate the deployment, provisioning, and management of a programmable device for the life cycle states of the programmable device is presented. The system includes an automation interface for a developer to develop modules to aid in the automation of the deployment, provisioning, and management of the programmable device and for a user to direct the system to enter into a state of the life cycle. A controller moves the programmable device into states of the life cycle in response to triggering events occurring.

Abstract: A system and method for purposing a computing device is disclosed. The computing devices in a network are organized into groups referred to as Pods, each Pod of computing devices further comprising an aggregation node. The aggregation node monitors and controls the computing devices in the Pod. The aggregation node is used to copy a system image from the pristine partition of another computer device or from a library of system images to a target partition of the computer to be repurposed. Because the computing devices in the network are organized into Pods, with each Pod having an aggregation node, there is no single point of failure for the entire management and control of the network. The aggregation nodes for each Pod in the network can communicate with one another to most efficiently allocate resources among the various tasks to be performed by the computing resources in the network. Computing devices in the network can be repurposed and/or reassigned to different Pods based on the various criteria.