Abstract: Dynamically changing the aggressiveness of optimization of virtual machines on physical hosts allows more efficient and varied optimization. An aggressiveness policy mechanism periodically applies system conditions to the aggressiveness policies to create aggressiveness settings that are provided to an optimizer. The optimizer then uses the aggressiveness settings to dynamically adjust the aggressiveness of placement of virtual machines according to the aggressiveness settings and consistent with other optimization policies. The aggressiveness policy mechanism may allow a system administrator to create and/or select aggressiveness policies.

Abstract: Systems, methods, and computer program products configured to perform an operation comprising determining that use of a system resource of a first host system exceeds a threshold, wherein the first host system executes a plurality of virtual machines in a cloud computing environment, identifying a first virtual machine, of the plurality of virtual machines, for migration based on a first migration policy, of a plurality of migration policies, wherein the plurality of migration policies specify a respective set of rules for identifying virtual machines for migration, and migrating the first virtual machine to a second host system in the cloud computing environment to reduce the use of the system resource on the first host system.

Abstract: Disclosed aspects manage virtual machine migration on a shared pool of configurable computing resources. A virtual machine is monitored in order to identify a set of migration data with respect to the virtual machine. A set of migration events is detected with respect to the virtual machine. Based on the set of migration events, the set of migration data is collected. In response to a triggering event, a determination is made whether to migrate the virtual machine from a current host based on the set of migration data. In accordance with the determination, a selection can be made whether to migrate the virtual machine from the current host.

Abstract: Disclosed aspects manage virtual machine migration on a shared pool of configurable computing resources. A virtual machine is monitored in order to identify a set of migration data with respect to the virtual machine. A set of migration events is detected with respect to the virtual machine. Based on the set of migration events, the set of migration data is collected. In response to a triggering event, a determination is made whether to migrate the virtual machine from a current host based on the set of migration data. In accordance with the determination, a selection can be made whether to migrate the virtual machine from the current host.

Abstract: Disclosed aspects manage a shared pool of configurable computing resources. A triggering event is detected. The triggering event may be related to a resource utilization on a host of the shared pool of configurable computing resources. Based on a set of profile data, it is determined to perform an event response. The event response includes initiating a resource action or initiating an asset action. The resource action may include distributing a set of dynamically-assigned resources. The asset action corresponds to a set of assets (e.g., migrating a set of virtual machines). To change the resource utilization on the host, the event response is performed.

Abstract: Dynamically changing the aggressiveness of optimization of virtual machines on physical hosts allows more efficient and varied optimization. An aggressiveness policy mechanism periodically applies system conditions to the aggressiveness policies to create aggressiveness settings that are provided to an optimizer. The optimizer then uses the aggressiveness settings to dynamically adjust the aggressiveness of placement of virtual machines according to the aggressiveness settings and consistent with other optimization policies. The aggressiveness policy mechanism may allow a system administrator to create and/or select aggressiveness policies.

Abstract: Dynamically setting the order of optimization of physical hosts allows more efficient and varied optimization. An ordering policy mechanism utilizes ordering policies to set an order for the optimizer to optimize physical the hosts. The ordering policy mechanism may allow a system administrator to create and/or select ordering policies. The ordering policies may include fixed ordering policies or dynamic ordering policies.

Abstract: Dynamically setting the order of optimization of physical hosts allows more efficient and varied optimization. An ordering policy mechanism utilizes ordering policies to set an order for the optimizer to optimize physical the hosts. The ordering policy mechanism may allow a system administrator to create and/or select ordering policies. The ordering policies may include fixed ordering policies or dynamic ordering policies.

Abstract: Disclosed aspects manage a shared pool of configurable computing resources. A triggering event is detected. The triggering event may be related to a resource utilization on a host of the shared pool of configurable computing resources. Based on a set of profile data, it is determined to perform an event response. The event response includes initiating a resource action or initiating an asset action. The resource action may include distributing a set of dynamically-assigned resources. The asset action corresponds to a set of assets (e.g., migrating a set of virtual machines). To change the resource utilization on the host, the event response is performed.

Abstract: Disclosed aspects manage a shared pool of configurable computing resources. A resource demand value is identified for a target host. Resource supply values of dynamically-assigned resources are computed for donor hosts. Using the resource demand value and the resource supply values, dynamically-assigned resources are reclaimed from the donor hosts and distributed to the target host.

Abstract: Disclosed aspects manage a shared pool of configurable computing resources. A resource demand value is identified for a target host. Resource supply values of dynamically-assigned resources are computed for donor hosts. Using the resource demand value and the resource supply values, dynamically-assigned resources are reclaimed from the donor hosts and distributed to the target host.

Abstract: Disclosed aspects manage a shared pool of configurable computing resources. A triggering event is detected. The triggering event may be related to a resource utilization on a host of the shared pool of configurable computing resources. Based on a set of profile data, it is determined to perform an event response. The event response includes initiating a resource action or initiating an asset action. The resource action may include distributing a set of dynamically-assigned resources. The asset action corresponds to a set of assets (e.g., migrating a set of virtual machines). To change the resource utilization on the host, the event response is performed.

Abstract: Disclosed aspects manage a shared pool of configurable computing resources. A triggering event is detected. The triggering event may be related to a resource utilization on a host of the shared pool of configurable computing resources. Based on a set of profile data, it is determined to perform an event response. The event response includes initiating a resource action or initiating an asset action. The resource action may include distributing a set of dynamically-assigned resources. The asset action corresponds to a set of assets (e.g., migrating a set of virtual machines). To change the resource utilization on the host, the event response is performed.

Abstract: Dynamically changing the aggressiveness of optimization of virtual machines on physical hosts allows more efficient and varied optimization. An aggressiveness policy mechanism periodically applies system conditions to the aggressiveness policies to create aggressiveness settings that are provided to an optimizer. The optimizer then uses the aggressiveness settings to dynamically adjust the aggressiveness of placement of virtual machines according to the aggressiveness settings and consistent with other optimization policies. The aggressiveness policy mechanism may allow a system administrator to create and/or select aggressiveness policies.

Abstract: Dynamically changing the aggressiveness of optimization of virtual machines on physical hosts allows more efficient and varied optimization. An aggressiveness policy mechanism periodically applies system conditions to the aggressiveness policies to create aggressiveness settings that are provided to an optimizer. The optimizer then uses the aggressiveness settings to dynamically adjust the aggressiveness of placement of virtual machines according to the aggressiveness settings and consistent with other optimization policies. The aggressiveness policy mechanism may allow a system administrator to create and/or select aggressiveness policies.

Abstract: Dynamically changing the aggressiveness of optimization of virtual machines on physical hosts allows more efficient and varied optimization. An aggressiveness policy mechanism periodically applies system conditions to the aggressiveness policies to create aggressiveness settings that are provided to an optimizer. The optimizer then uses the aggressiveness settings to dynamically adjust the aggressiveness of placement of virtual machines according to the aggressiveness settings and consistent with other optimization policies. The aggressiveness policy mechanism may allow a system administrator to create and/or select aggressiveness policies.

Abstract: Dynamically changing the aggressiveness of optimization of virtual machines on physical hosts allows more efficient and varied optimization. An aggressiveness policy mechanism periodically applies system conditions to the aggressiveness policies to create aggressiveness settings that are provided to an optimizer. The optimizer then uses the aggressiveness settings to dynamically adjust the aggressiveness of placement of virtual machines according to the aggressiveness settings and consistent with other optimization policies. The aggressiveness policy mechanism may allow a system administrator to create and/or select aggressiveness policies.

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: 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.