Abstract: Disclosed aspects include managing asset placement with respect to a shared pool of configurable computing resources. A first set of first resource values is detected with respect to a set of assets. The first set of first resource values includes a first value. A second set of first resource values is detected with respect to the set of assets. The second set of first resource values includes a second value. The second value exceeds the first value. A set of asset weight values is detected with respect to the set of assets. The set of asset weight values indicates an asset utilization arrangement. A placement arrangement is determined for the set of assets using the first set of first resource values, the second set of first resource values, and the set of asset weight values. Accordingly, the set of assets is placed based on the placement arrangement.

Abstract: Composite virtual machine templates may be used in the deployment of virtual machines into virtualized computing environments. A composite virtual machine template may define a plurality of deployment attributes for use in a virtual machine deployment, and at least some of these deployment attributes may be determined through references to other virtual machine templates and included in the composite virtual machine template.

Abstract: Disclosed aspects manage a shared pool of configurable computing resources associated with a shared pool manager. The shared pool manager receives a set of scaling factors. The set of scaling factors corresponds to a workload. Using the set of scaling factor values and a set of workload resource data, a configuration is determined. The configuration is established to process the workload. Disclosed aspects manage a shared pool of configurable computing resources associated with a registry. The registry is structured to have a set of workload resource data and associated scaling factors. A set of scaling factor values is detected. The set of scaling factors corresponds to a workload. Based on both the set of workload resource data and the set of scaling factor values, a set of resource attributes is determined to configure the shared pool of configurable computing resources for the workload. The set of resource attributes is communicated.

Abstract: Disclosed aspects manage a shared pool of configurable computing resources associated with a shared pool manager. The shared pool manager receives a set of scaling factors. The set of scaling factors corresponds to a workload. Using the set of scaling factor values and a set of workload resource data, a configuration is determined. The configuration is established to process the workload. Disclosed aspects manage a shared pool of configurable computing resources associated with a registry. The registry is structured to have a set of workload resource data and associated scaling factors. A set of scaling factor values is detected. The set of scaling factors corresponds to a workload. Based on both the set of workload resource data and the set of scaling factor values, a set of resource attributes is determined to configure the shared pool of configurable computing resources for the workload. The set of resource attributes is communicated.

Abstract: Disclosed aspects manage a shared pool of configurable computing resources associated with a shared pool manager. The shared pool manager receives a set of scaling factors. The set of scaling factors corresponds to a workload. Using the set of scaling factor values and a set of workload resource data, a configuration is determined. The configuration is established to process the workload. Disclosed aspects manage a shared pool of configurable computing resources associated with a registry. The registry is structured to have a set of workload resource data and associated scaling factors. A set of scaling factor values is detected. The set of scaling factors corresponds to a workload. Based on both the set of workload resource data and the set of scaling factor values, a set of resource attributes is determined to configure the shared pool of configurable computing resources for the workload. The set of resource attributes is communicated.

Abstract: Disclosed aspects relate to managing link aggregation with respect to a shared pool of configurable computing resources. A set of workloads of the shared pool of configurable computing resources can be monitored to identify a set of networking data. Based on the set of networking data, a link aggregation arrangement for dynamic adjustment may be determined. The link aggregation arrangement may be established by dynamic adjustment with respect to the shared pool of configurable computing resources.

Abstract: Disclosed aspects manage a shared pool of configurable computing resources associated with a shared pool manager. The shared pool manager receives a set of scaling factors. The set of scaling factors corresponds to a workload. Using the set of scaling factor values and a set of workload resource data, a configuration is determined. The configuration is established to process the workload. Disclosed aspects manage a shared pool of configurable computing resources associated with a registry. The registry is structured to have a set of workload resource data and associated scaling factors. A set of scaling factor values is detected. The set of scaling factors corresponds to a workload. Based on both the set of workload resource data and the set of scaling factor values, a set of resource attributes is determined to configure the shared pool of configurable computing resources for the workload. The set of resource attributes is communicated.

Abstract: Disclosed aspects relate to asset management with respect to a shared pool of configurable computing resources. With respect to a set of assets which share a resource on a first compute node, a set of asset weight values is identified. The set of asset weight values indicates a set of utilization shares of the resource by the set of assets. A set of asset priority values is identified with respect to the set of assets on the first compute node. The set of asset priority values indicates a relative status arrangement for the set of assets. Using the set of asset weight values and the set of asset priority values, a determination is made to migrate a first asset of the set of assets from the first compute node to a second compute node. Accordingly, the first asset of the set of assets is migrated from the first compute node to the second compute node.

Abstract: Temporal dynamic policies may be used to effectively alter the management of a virtual machine in a virtualized computing environment based upon some temporal condition such as how long a virtual machine has been active or idle, how long it has been since the virtual machine was created or deployed, etc. The altered management may be used, for example, to activate various performance and/or reliability-related technologies such as high availability and failover functionality for longer-running virtual machines.

Abstract: Temporal dynamic policies may be used to effectively alter the management of a virtual machine in a virtualized computing environment based upon some temporal condition such as how long a virtual machine has been active or idle, how long it has been since the virtual machine was created or deployed, etc. The altered management may be used, for example, to activate various performance and/or reliability-related technologies such as high availability and failover functionality for longer-running virtual machines.

Abstract: One or more concurrency limits may be checked in connection with the performance of a virtual machine management operation such as a virtual machine deploy, resize or migration operation to enable the virtual machine management operation to be scheduled on a host for which no concurrency limits have been met.

Abstract: A workload of a virtualized computing environment is rebalanced by resizing and/or moving one or more virtual machines allocated resources from a shared pool of resources in the virtualized computing environment based upon multiple resource capacities specified for each virtual machine and representing different portions of the resources from the shared pool of resources, e.g., minimum and desired resource capacities.

Abstract: One or more concurrency limits may be checked in connection with the performance of a virtual machine management operation such as a virtual machine deploy, resize or migration operation to enable the virtual machine management operation to be scheduled on a host for which no concurrency limits have been met.

Abstract: Temporal dynamic policies may be used to effectively alter the management of a virtual machine in a virtualized computing environment based upon some temporal condition such as how long a virtual machine has been active or idle, how long it has been since the virtual machine was created or deployed, etc. The altered management may be used, for example, to activate various performance and/or reliability-related technologies such as high availability and failover functionality for longer-running virtual machines.

Abstract: Temporal dynamic policies may be used to effectively alter the management of a virtual machine in a virtualized computing environment based upon some temporal condition such as how long a virtual machine has been active or idle, how long it has been since the virtual machine was created or deployed, etc. The altered management may be used, for example, to activate various performance and/or reliability-related technologies such as high availability and failover functionality for longer-running virtual machines.

Abstract: One or more concurrency limits may be checked in connection with the performance of a virtual machine management operation such as a virtual machine deploy, resize or migration operation to enable the virtual machine management operation to be scheduled on a host for which no concurrency limits have been met.

Abstract: Composite virtual machine templates may be used in the deployment of virtual machines into virtualized computing environments. A composite virtual machine template may define a plurality of deployment attributes for use in a virtual machine deployment, and at least some of these deployment attributes may be determined through references to other virtual machine templates and included in the composite virtual machine template.

Abstract: One or more concurrency limits may be checked in connection with the performance of a virtual machine management operation such as a virtual machine deploy, resize or migration operation to enable the virtual machine management operation to be scheduled on a host for which no concurrency limits have been met.

Abstract: One or more concurrency limits may be checked in connection with the performance of a virtual machine management operation such as a virtual machine deploy, resize or migration operation to enable the virtual machine management operation to be scheduled on a host for which no concurrency limits have been met.

Abstract: Composite virtual machine templates may be used in the deployment of virtual machines into virtualized computing environments. A composite virtual machine template may define a plurality of deployment attributes for use in a virtual machine deployment, and at least some of these deployment attributes may be determined through references to other virtual machine templates and included in the composite virtual machine template.