Abstract: Disclosed is a method of managing computer resources in a dynamic computing environment. The method includes identifying available resources from an available pool based on an augmented model, the available pool including resources unallocated resources, allocating the identified available resources in accordance with the augmented model, identifying reserve resources from a reserve pool based on the augmented model, the reserve pool including resources not allocated and not configured, and upon determining the available pool includes a number of resources below a threshold, replenishing the available pool with the identified reserve resources.

Abstract: Disclosed is a method of managing computer resources in a dynamic computing environment. The method includes identifying available resources from an available pool based on an augmented model, the available pool including resources unallocated resources, allocating the identified available resources in accordance with the augmented model, identifying reserve resources from a reserve pool based on the augmented model, the reserve pool including resources not allocated and not configured, and upon determining the available pool includes a number of resources below a threshold, replenishing the available pool with the identified reserve resources.

Abstract: Disclosed are methods and systems to automate the provisioning and deployment of application instances within a heterogeneous data center. In one embodiment, the application provisioning is performed based upon a blueprint and deployment model defining requirements of the provisioned application. In another embodiment, the totality of available resources for provisioning is divided into different segments. When resources are requested and assigned to an incoming provisioning request, the resource pool may be refreshed or augmented as defined by thresholds or forecasting of user needs. The resource pool may be refreshed by recapturing allocated resources that are no longer in use or by configuring resources taken from the reserve. Further, when reserve resources are not available or are below a minimum reserve threshold, capacity planning actions may be initiated or advised.

Abstract: Disclosed are methods and systems for intelligent resource pool management of heterogeneous datacenter resources. In one embodiment, intelligent resource pool management is utilized to assist in application provisioning performed based upon a blueprint and deployment model defining requirements of the provisioned application. In other embodiments, intelligent resource pool managers are configured to work in concert with other intelligent resource pool managers and/or a centralized provisioning engine. Resource pools may also be configured in a hierarchical manner whereby higher level resource pools may automatically draw resources from lower level resource pools as directed by one or more intelligent resource pool managers.

Abstract: Disclosed are methods and systems to automate the provisioning and deployment of application instances within a heterogeneous data center. In one embodiment, the application provisioning is performed based upon a blueprint and deployment model defining requirements of the provisioned application. In another embodiment, the totality of available resources for provisioning is divided into different segments. When resources are requested and assigned to an incoming provisioning request, the resource pool may be refreshed or augmented as defined by thresholds or forecasting of user needs. The resource pool may be refreshed by recapturing allocated resources that are no longer in use or by configuring resources taken from the reserve. Further, when reserve resources are not available or are below a minimum reserve threshold, capacity planning actions may be initiated or advised.

Abstract: Disclosed are methods and systems for intelligent resource pool management of heterogeneous datacenter resources. In one embodiment, intelligent resource pool management is utilized to assist in application provisioning performed based upon a blueprint and deployment model defining requirements of the provisioned application. In other embodiments, intelligent resource pool managers are configured to work in concert with other intelligent resource pool managers and/or a centralized provisioning engine. Resource pools may also be configured in a hierarchical manner whereby higher level resource pools may automatically draw resources from lower level resource pools as directed by one or more intelligent resource pool managers.