Abstract:
In one implementation, a system for hybrid cooling control of a computing system includes a coordinated controller engine to: determine a number of liquid loop set-points and a number of air loop set-points, determine a number of system parameters corresponding to the number of liquid loop set-points and the number of air loop set-points, determine a correlation factor for the number of system parameters; and alter the number of liquid loop set-points and the number of air loop set-points based on the correlation factor to lower an energy consumption or to maximize energy reuse of a number of cooling resources associated with the number of system parameters.
Abstract:
A computing device includes at least one processor and an analysis module. The analysis module is to monitor status information for a first set of compute nodes. The analysis module is also to receive a level-one conclusion from a second manager node, wherein the level-one conclusion is generated by the second manager node based on at least in part on status information for a second set of compute nodes. The analysis module is also to generate a level-two conclusion based on the level-one conclusion, where the manager node, the first set of compute nodes, the second manager node, and the second set of compute nodes are included in a multi-node computing system.
Abstract:
According to an example, memory-driven OOB management may include OOB management of a computing node of a plurality of computing nodes. The OOB management may be executed independent of an OS of the computing node. A memory fabric may be used to provide for shared access to a plurality of NVM nodes by the plurality of computing nodes.
Abstract:
Examples relate to firmware-based provisioning of hardware resources. In some of the examples, firmware discovers and takes ownership of a hardware resource. At this stage, the firmware performs a test to verify the hardware resource. The firmware then assigns the hardware resource to an OS instance. At this stage, the firmware can suspend assigning further hardware resources to the OS instance in response to a satisfied notification from the OS instance.
Abstract:
In one example, a system for fault representation of computing infrastructures includes an infrastructure engine to determine a fault relationship between a first element and a second element within a computing infrastructure, wherein the fault relationship represents an ability of the first element and the second element to function, a representation engine to generate a fault representation of the computing infrastructure based on the determined fault relationship between the first element and the second element within the computing infrastructure, and a workload engine to assign workloads to the computing infrastructure based on the fault representation of the computing infrastructure.
Abstract:
Examples disclosed herein relate to querying a hardware component for analysis rules. For example, a processor may determine to retrieve an analysis rule associated with a hardware component within a computing system and query the hardware component for an analysis rule associated with the hardware component. The processor may analyze the computing system based on the received analysis rule associated with the first hardware component and a workload to be executed on the computing system.
Abstract:
Example implementations relate to non-volatile storage of management data. In example implementations, a system is disclosed, the system including a plurality of computing devices, a management device, and a non-volatile memory including a plurality of management spaces corresponding to the plurality of computing devices. In example implementations, at least one of the plurality of management spaces is to be accessible by the management device and by the corresponding computing device, be inaccessible by computing devices other than the corresponding computing device, and store management data associated with the corresponding computing device.
Abstract:
According to an example, memory-driven OOB management may include OOB management of a computing node of a plurality of computing nodes. The OOB management may be executed independent of an OS of the computing node. A memory fabric may be used to provide for shared access to a plurality of NVM nodes by the plurality of computing nodes.