Abstract: Apparatuses, methods, systems, and program products are disclosed for workload management and distribution. A method includes parking a virtual instance of a workload in a repository. The workload may be executing in a first virtual environment that is configured with a first set of execution parameters prior to being parked. The method includes receiving a request to unpark the virtual instance of the workload from the repository to a second virtual environment. The method includes unparking the virtual instance of the workload at the second virtual environment. The second virtual environment may be configured with a second set of execution parameters that are different than the first set of execution parameters. The virtual instance of the workload may be unparked at the second virtual environment using the second set of execution parameters such that the unparked virtual instance of the workload retains its operating state from the first virtual environment.

Abstract: Apparatuses, methods, systems, and computer program products are disclosed for container synchronization. Host data associated with a first container on a host device is determined. Target data associated with a second container on a target device is determined. Differences between the host data associated with the first container on the host device and the target data associated with the second container on the target device are determined. Host data associated with the first container on the host device is synchronized with target data associated with the second container on the target device in response to determining differences between the host data and the target data such that the host data associated with the first container is identical to the target data associated with the second container.

Abstract: Apparatuses, methods, systems, and program products are disclosed for workload management and distribution. A method includes parking a virtual instance of a workload in a repository. The workload may be executing in a first virtual environment that is configured with a first set of execution parameters prior to being parked. The method includes receiving a request to unpark the virtual instance of the workload from the repository to a second virtual environment. The method includes unparking the virtual instance of the workload at the second virtual environment. The second virtual environment may be configured with a second set of execution parameters that are different than the first set of execution parameters. The virtual instance of the workload may be unparked at the second virtual environment using the second set of execution parameters such that the unparked virtual instance of the workload retains its operating state from the first virtual environment.

Abstract: Apparatuses, methods, systems, and computer program products are disclosed for container synchronization. Host data associated with a first container on a host device is determined. Target data associated with a second container on a target device is determined. Differences between the host data associated with the first container on the host device and the target data associated with the second container on the target device are determined. Host data associated with the first container on the host device is synchronized with target data associated with the second container on the target device in response to determining differences between the host data and the target data such that the host data associated with the first container is identical to the target data associated with the second container.

Abstract: Various methods, devices, and systems are described for cloud federation in a cloud computing network including bridging computing resources between an enterprise and a cloud or among multiple clouds. These techniques involve generating an image of the host system and decoupling it from its underlying computing resources so that it can be migrated across disparate computing resources in a seamless manner. In one embodiment, an enterprise workload can be bridged with cloud resources to receive software as a service. In other embodiments, bridging is performed across multiple public or private clouds, each potentially having disparate computing resources. In addition, users can access and use these cloud services through a web browser or other network interface anywhere in the cloud computing network as if the services were installed locally on their own computer.

Abstract: Various methods, devices, and systems are described for cloud federation in a cloud computing network including bridging computing resources between an enterprise and a cloud or among multiple clouds. These techniques involve generating an image of the host system and decoupling it from its underlying computing resources so that it can be migrated across disparate computing resources in a seamless manner. In one embodiment, an enterprise workload can be bridged with cloud resources to receive software as a service. In other embodiments, bridging is performed across multiple public or private clouds, each potentially having disparate computing resources. In addition, users can access and use these cloud services through a web browser or other network interface anywhere in the cloud computing network as if the services were installed locally on their own computer.