A controller (10) includes: a power generation amount collection unit (15) that obtains an available power amount of a server group (21) from a power generation amount of a renewable power plant (3); a usage collection unit (13) that obtains a power usage of the server group (21); and a task control unit (14) that suspends a task in operation according to an insufficient amount of power and stops a server that has operated the suspended task when the available power amount is insufficient for the power usage. The task control unit (14) calculates a priority of each task operating in the server group (21), calculates a priority of each server in the server group (21) that operates each task from the priority of each task, and selects a server to be stopped in order from a server with a lower priority.

A virtual machine (VM) management utility tool may deploy an object model that may persist one or more virtual machine dependencies and relationships. Through a web front-end interface, for example, the VMs may be started in a specific order or re-booted, and the tool automatically determines the additional VMs that need to be re-booted order to maintain the integrity of the environment. Through the web interface, for example, the object model may be managed, and start-up orders or VM dependencies may be updated. For VMs that may not start under load, the object model may access to the VM until the VM is fully initialized.

A set of computing nodes may receive a corresponding set of heartbeat messages that originated at the set of computing nodes. The set of heartbeat messages may relate to selecting, among the set of computing nodes, a leader computing node to process a set of jobs. State information included in the heartbeat messages may be provided to a leader election algorithm that outputs information indicating one or more computing nodes that are most qualified to process the set of jobs based on processing capabilities of the computing nodes and processing constraints associated with the set of jobs. The computing node may select itself as the leader computing node to process the set of jobs based on determining, from the information output by the leader election algorithm, that the computing node is most qualified to process the set of jobs and no other computing nodes are processing the set of jobs.

Various examples are disclosed for performing cross-cluster load balancing. In some aspects, a workload is selected for cross-cluster migration. A destination cluster is identified for a migration of the workload from a source cluster to the destination cluster. A cross-cluster migration recommendation is generated to migrate the workload from the source cluster to the destination cluster.

Systems and methods for migrating users and modifying workspace definitions of persona groups are described. In some embodiments, a memory storage device may have program instructions stored thereon that, upon execution by a workspace orchestration service, cause the service to: distribute a first workspace definition based upon a first persona group associated with a user to a client device operated by the user, where the user IHS is configured to instantiate a first workspace based upon the first workspace definition; and in response to a change in a productivity or security metric of the first workspace, determine whether to: (a) migrate the user to an existing second persona group, (b) create a third persona group and migrate the user to the third persona group, (c) modify the first persona group and migrate the user to the modified first persona group, or (d) identify a potential security threat.

According to examples, an apparatus may include a processor and a memory on which is stored machine-readable instructions that when executed by the processor, may cause the processor to identify configuration information to be used by an on-premise access management service to provide authentication services to applications by users. The processor may also transform the identified configuration information into a transformed set of configuration information to be used by a cloud-based access management service to provide authentication services to the applications by users. In addition, the processor may store the transformed set of configuration information for use by the cloud-based access management service to provide authentication services to the applications by users to migrate authentication of the users from the on-premise access management service to the cloud-based access management service.

Systems, software, and methods for evaluating the scope of computer system changes related to automatic migration from one set of computing hardware to another provide methods and techniques that include evaluations for compliance with one or more policies prior to implementation, and then sequence and automate the migration tasks. A domain-specific language describes activity specifications and asset metadata, which is then used to generate interdependent activities in a project workstream on the basis of stored expert knowledge embedded in knowledge templates. Disaster recovery and “what-if” migration scenarios are tested in order to test and compare options of one or more proposed infrastructure changes.

A stream multiprocessor, a GPU, and related methods are provided. The stream multiprocessor executes thread blocks. Each thread block includes warps. The stream multiprocessor includes stream processors and a local dispatcher. Each stream processor executes one or more warps. The local dispatcher includes a warp state table, a warp resource detection unit and a warp launching unit. The warp state table records dispatching states and processing states of warps of the thread blocks. The warp resource detection unit selects all the first warps of a first thread block and at least one second warp of a second thread block according to hardware resources available to the stream multiprocessor and hardware resources required for thread blocks. The warp launching unit dispatches the first warps to idle stream processors and at least one second warp to at least one idle stream processor.

A method of migrating a user profile to a virtual desktop infrastructure (VDI) system includes enumerating applications installed at an endpoint of a user, retrieving a list of application settings files, determining file and registry locations of user profile data relating to the applications installed at the endpoint from the application settings files, and retrieving the user profile data from the determined file and registry locations and storing the user profile data in a shared storage. When a user logs in to a virtual desktop of the VDI system, the user profile data is retrieved from the shared storage and imported into file and registry locations specified by the application settings files of applications that are installed in the virtual desktop.

The present disclosure provides a task migration method, apparatus, electronic device and storage medium, and relates to the technical field of data processing. The method may include: obtaining a task submitted by a user; in the case that the task is a Hadoop task and it is determined that task conversion is to be performed, converting Hadoop parameters in the task into parameters recognizable by a Spark; and injecting a conversion result into a predetermined kit and submitting the predetermined kit to a Spark cluster. The solution of the present disclosure may be applied to reduce the user's workload and enhance the processing efficiency etc.