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: 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: Disclosed aspects manage a shared pool of configurable computing resources. A set of resource assignment data is established. The set of resource assignment data indicates a first host of the shared pool of configurable computing resources includes a set of dynamically-assigned resources. An error event with respect to the first host is detected. In response to detecting the error event with respect to the first host, a determination is made to perform a resource action based on the set of resource assignment data. The resource action, which is related to the set of dynamically-assigned resources, is performed.

Abstract: Placement of virtual machines on physical hosts is based on a preferred host list that may be generated from preferred host identifiers to more efficiently utilize system resources and serve the needs of different workloads. A host identifiers mechanism allows a system administrator to select preferred host identifiers for each virtual machine or a group of virtual machines. The host identifiers mechanism in conjunction with an optimizer periodically adjusts the placement of virtual machines according to the preferred host identifiers and consistent with optimization policies. Further, the preferred host identifiers may include a time component so that the preferred host resources can be periodically updated and can dynamically change over time.

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: 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: Placement of virtual machines on physical hosts is based on collocation rules with situational enforcement policies set by a system administrator to increase flexibility in rule enforcement and to more efficiently utilize system resources. A scheduler mechanism allows a system administrator to select different collocation rules and situational enforcement policies for a group of virtual machines. The scheduler mechanism utilizes the collocation rules and the situational enforcement policies to place the virtual machines.

Abstract: Placement of virtual machines on physical hosts is based on collocation rules with situational enforcement policies set by a system administrator to increase flexibility in rule enforcement and to more efficiently utilize system resources. A scheduler mechanism allows a system administrator to select different collocation rules and situational enforcement policies for a group of virtual machines. The scheduler mechanism utilizes the collocation rules and the situational enforcement policies to place the virtual machines.

Abstract: Placement of virtual machines on physical hosts are based on differing initial policies and optimization policies set by a system administrator to more efficiently utilize system resources and serve the needs of different workloads. A scheduler mechanism allows a system administrator to select different initial placement policies for one or more host groups of physical hosts. The scheduler mechanism utilizes an optimizer that monitors host performance and adjusts the placement of virtual machines according to another set of optimization policies similarly selected by the system administrator for each of the host groups.

Abstract: Placement of virtual machines on physical hosts are based on differing initial policies and optimization policies set by a system administrator to more efficiently utilize system resources and serve the needs of different workloads. A scheduler mechanism allows a system administrator to select different initial placement policies for one or more host groups of physical hosts. The scheduler mechanism utilizes an optimizer that monitors host performance and adjusts the placement of virtual machines according to another set of optimization policies similarly selected by the system administrator for each of the host groups.

Abstract: A cloud manager monitors available resources on host computer systems, including a number of hardware threads supported by CPUs on the host computer systems. The cloud manager receives a request to provision a virtual machine (VM) that includes a hardware multithreading parameter that specifies the amount of hardware multithreading required on the host computer system. The cloud manager then selects a host computer system for the VM taking the hardware multithreading parameter into consideration.

Abstract: A cloud manager monitors available resources on host computer systems, including a number of hardware threads supported by CPUs on the host computer systems. The cloud manager receives a request to provision a virtual machine (VM) that includes a hardware multithreading parameter that specifies whether hardware multithreading is allowed on the host computer system. The cloud manager then selects a host computer system for the VM taking the hardware multithreading parameter into consideration. The VM is then placed on the selected host computer system using the hardware multithreading parameter.

Abstract: A cloud manager monitors available resources on host computer systems, including a number of hardware threads supported by CPUs on the host computer systems and whether or not the CPUs have split core enabled. The cloud manager receives a request to provision a virtual machine (VM) that includes a hardware multithreading parameter that specifies whether hardware multithreading is allowed on the host computer system. The cloud manager then selects a host computer system for the VM taking into consideration the hardware multithreading parameter, the hardware threads supported by the CPU, and the split core settings. The VM is then placed on the selected host computer system using the hardware multithreading parameter. The result is more efficient utilization of CPU resources in a host for a virtual machine.

Abstract: A cloud manager monitors available resources on host computer systems, including a number of hardware threads supported by CPUs on the host computer systems. The cloud manager receives a request to provision a virtual machine (VM) that includes a hardware multithreading parameter that specifies whether hardware multithreading is allowed on the host computer system. The cloud manager then selects a host computer system for the VM taking the hardware multithreading parameter into consideration. The VM is then placed on the selected host computer system using the hardware multithreading parameter.

Abstract: A cloud manager monitors available resources on host computer systems, including a number of hardware threads supported by CPUs on the host computer systems. The cloud manager receives a request to provision a virtual machine (VM) that includes a hardware multithreading parameter that specifies whether hardware multithreading is allowed on the host computer system. The cloud manager then selects a host computer system for the VM taking the hardware multithreading parameter into consideration. The VM is then placed on the selected host computer system using the hardware multithreading parameter.

Abstract: A cloud manager monitors available resources on host computer systems, including a number of hardware threads supported by CPUs on the host computer systems. The cloud manager receives a request to provision a virtual machine (VM) that includes a hardware multithreading parameter that specifies the amount of hardware multithreading required on the host computer system. The cloud manager then selects a host computer system for the VM taking the hardware multithreading parameter into consideration.

Abstract: A cloud manager monitors available resources on host computer systems, including a number of hardware threads supported by CPUs on the host computer systems. The cloud manager receives a request to provision a virtual machine (VM) that includes a hardware multithreading parameter that specifies the amount of hardware multithreading required on the host computer system. The cloud manager then selects a host computer system for the VM taking the hardware multithreading parameter into consideration.

Abstract: The present invention discloses a solution for collecting interest data from conversations conducted on a mobile device to augment a user profile. Such a solution can include an interest data coordinator and a user profile. The interest data coordinator can be configured to analyze conversations conducted upon a mobile device for interest data. The user profile can represent a compilation of user data and interest data.

Abstract: A cloud manager monitors available resources on host computer systems, including a number of hardware threads supported by CPUs on the host computer systems and whether or not the CPUs have split core enabled. The cloud manager receives a request to provision a virtual machine (VM) that includes a hardware multithreading parameter that specifies whether hardware multithreading is allowed on the host computer system. The cloud manager then selects a host computer system for the VM taking into consideration the hardware multithreading parameter, the hardware threads supported by the CPU, and the split core settings. The VM is then placed on the selected host computer system using the hardware multithreading parameter. The result is more efficient utilization of CPU resources in a host for a virtual machine.