Abstract: The present disclosure is directed to capability determination for computing resource allocation. A device may comprise a management engine (ME) to determine device information for use in generating an enhanced universally unique identifier (UUID) based on a UUID corresponding to the device. The ME may interact with equipment in the device to obtain the device information, and may augment the UUID using at least part of the device information. Device information may include a device media access control (MAC) address, a central processing unit (CPU) identification (ID) for at least one CPU in the device and a device capability ID. The capability ID may be generated utilizing capability information obtained from the equipment, and may be encoded into the capability ID based on tables that describe different capabilities. The device may provide the enhanced UUID to a group agent that may group the device with other devices comprising similar capabilities.

Abstract: A method, system, and device for managing hardware resources in a cloud scheduling environment includes a zone controller. The zone controller can manage groups of node servers in a cloud datacenter using a checkin service. The checkin service allows server groups to be created automatically based on one or more hardware characteristics of the node servers, server health information, workload scheduling or facilities management parameters, and/or other criteria.

Abstract: The present disclosure is directed to capability determination for computing resource allocation. A device may comprise a management engine (ME) to determine device information for use in generating an enhanced universally unique identifier (UUID) based on a UUID corresponding to the device. The ME may interact with equipment in the device to obtain the device information, and may augment the UUID using at least part of the device information. Device information may include a device media access control (MAC) address, a central processing unit (CPU) identification (ID) for at least one CPU in the device and a device capability ID. The capability ID may be generated utilizing capability information obtained from the equipment, and may be encoded into the capability ID based on tables that describe different capabilities. The device may provide the enhanced UUID to a group agent that may group the device with other devices comprising similar capabilities.

Abstract: A method, system, and device for managing hardware resources in a cloud scheduling environment includes a zone controller. The zone controller can manage groups of node servers in a cloud datacenter using a checkin service. The checkin service allows server groups to be created automatically based on one or more hardware characteristics of the node servers, server health information, workload scheduling or facilities management parameters, and/or other criteria.

Abstract: A method, system, and device for managing hardware resources in a cloud scheduling environment includes a zone controller. The zone controller can manage groups of node servers in a cloud datacenter using a checkin service. The checkin service allows server groups to be created automatically based on one or more hardware characteristics of the node servers, server health information, workload scheduling or facilities management parameters, and/or other criteria.

Abstract: A method, system, and device for managing hardware resources in a cloud scheduling environment includes a zone controller. The zone controller can manage groups of node servers in a cloud datacenter using a checkin service. The checkin service allows server groups to be created automatically based on one or more hardware characteristics of the node servers, server health information, workload scheduling or facilities management parameters, and/or other criteria.

Abstract: A system and method provide for receiving data corresponding to a computing node and identifying a processor usage, a memory usage and an input/output (IO) usage based at least in part on the data corresponding to the computing node. In addition, a compute usage value may be determined for the computing node based at least in part on the processor usage, the memory usage and the IP usage.