Abstract: A direct load system and conveyor is disclosed. The direct load system includes a load port for moving containers in a vertical orientation between a lower position near the conveyor and up to an upper position proximate to a load port door. The load port includes a single arm that moves a support in a vertical configuration, such that moving the single arm allows for the support to be lowered to the conveyor in a nested location between beams of the conveyor. The conveyor includes a single slot in a beam that allows the single arm to pass, and allows the support to be placed in the nested location, which is below a conveyor path defined by the belts of the conveyor. If a container is to be lifted off of the belts, the single arm raises up from the nested location, to then raise the container up and off of the conveyor and to the load port door.

Abstract: A system and method for peer-to-peer grid based autonomic and probabilistic on-demand trackless backup and restore are disclosed. The on-demand trackless backup-restore system includes a plurality of nodes connected to a network communications channel. The plurality of nodes in the on-demand trackless backup-restore system includes at least one node that is a source client configured to initiate a trackless data backup-restore request and includes one or more nodes that are target clients configured to perform the trackless data backup-restore request. Further, the source client in the on-demand trackless backup-restore system is configured to establish direct connections with one or more of the target clients that are available to perform the trackless data backup-restore request.

Abstract: An apparatus, system, and method are disclosed for backing up data across a plurality of clients on a grid computing system. A sequence management apparatus includes a client request module, a sequence module, and packet storage module. The sequence module is configured to receive data to be backed up from a source client. The sequence module is configured to generate a non-transparent sequence key that identifies one or more target clients on the grid computing system. The packet storage module is configured to store a backup copy of the data from the source client on the plurality of target clients according to the non-transparent sequence key. The non-transparent sequence key may be generated by and known only to the sequence management apparatus in order to maintain a minimum security level for the data backed up on the plurality of target clients.

Abstract: An apparatus, system, and method are disclosed for on-demand control of a grid system resource on a grid computing system. An on-demand management apparatus includes a user input module, a parameter module, and a reservation module. The user input module is configured to allow a user to input a parameter control request. The parameter control request corresponds to a performance parameter of the grid computing system. The global parameter module is configured to dynamically change the performance parameter, which corresponds to a performance resource, according to the parameter control request. The global reservation module is configured to reserve the performance resource for a grid computing operation. The on-demand management apparatus is also configured to terminate a performance resource reservation when a client reclaims the performance resources from the grid computing system.

Abstract: An apparatus, system, and method are disclosed for autonomic management of data operations and performance resources on a grid computing system. An autonomic management apparatus includes a monitor module, a policy module, and a regulation module. The monitor module is configured to monitor the grid computing system for a trigger event. The policy module is configured to access one of a plurality of system policies. Each of the plurality of system policies corresponds to an operational control parameter of a system resource of the grid computing system. The regulation module is configured to autonomically regulate the system resource in response to a recognized trigger event according to one of the plurality of system policies. The trigger event may be a prediction trigger event, an initiation trigger event, a regulation trigger event, or a termination trigger event.