Abstract: Near clones for a set of targeted computing systems are provided by determining a highest common denominator set of components among the computing systems, producing a pseudo-clone configuration definition, and realizing one or more pseudo-clone computing systems as partially configured backups for the targeted computing systems. Upon a planned failover, actual failure, or quarantine action on a targeted computing system, a difference configuration is determined to complete the provisioning of the pseudo-clone system to serve as a replacement system for the failed or quarantined system. Failure predictions can be used to implement the pseudo-clone just prior to an expected first failure of any of the targeted systems. The system can also interface to an on-demand provisioning management system to effect automated workflows to realize pseudo-clones and replacement systems automatically, as needed.

Abstract: Near clones for a set of targeted computing systems are provided by determining a highest common denominator set of components among the computing systems, producing a pseudo-clone configuration definition, and realizing one or more pseudo-clone computing systems as partially configured backups for the targeted computing systems. Upon a planned failover, actual failure, or quarantine action on a targeted computing system, a difference configuration is determined to complete the provisioning of the pseudo-clone system to serve as a replacement system for the failed or quarantined system. Failure predictions can be used to implement the pseudo-clone just prior to an expected first failure of any of the targeted systems. The system can also interface to an on-demand provisioning management system to effect automated workflows to realize pseudo-clones and replacement systems automatically, as needed.

Abstract: Near clones for a set of targeted computing systems are provided by determining a highest common denominator set of components among the computing systems, producing a pseudo-clone configuration definition, and realizing one or more pseudo-clone computing systems as partially configured backups for the targeted computing systems. Upon a planned failover, actual failure, or quarantine action on a targeted computing system, a difference configuration is determined to complete the provisioning of the pseudo-clone system to serve as a replacement system for the failed or quarantined system. Failure predictions can be used to implement the pseudo-clone just prior to an expected first failure of any of the targeted systems. The system can also interface to an on-demand provisioning management system to effect automated workflows to realize pseudo-clones and replacement systems automatically, as needed.

Abstract: Near clones for a set of targeted computing systems are provided by determining a highest common denominator set of components among the computing systems, producing a pseudo-clone configuration definition, and realizing one or more pseudo-clone computing systems as partially configured backups for the targeted computing systems. Upon a planned failover, actual failure, or quarantine action on a targeted computing system, a difference configuration is determined to complete the provisioning of the pseudo-clone system to serve as a replacement system for the failed or quarantined system. Failure predictions can be used to implement the pseudo-clone just prior to an expected first failure of any of the targeted systems. The system can also interface to an on-demand provisioning management system to effect automated workflows to realize pseudo-clones and replacement systems automatically, as needed.

Abstract: Near clones for a set of targeted computing systems are provided by determining a highest common denominator set of components among the computing systems, producing a pseudo-clone configuration definition, and realizing one or more pseudo-clone computing systems as partially configured backups for the targeted computing systems. Upon a planned failover, actual failure, or quarantine action on a targeted computing system, a difference configuration is determined to complete the provisioning of the pseudo-clone system to serve as a replacement system for the failed or quarantined system. Failure predictions can be used to implement the pseudo-clone just prior to an expected first failure of any of the targeted systems. The system can also interface to an on-demand provisioning management system to effect automated workflows to realize pseudo-clones and replacement systems automatically, as needed.

Abstract: Near clones for a set of targeted computing systems are provided by determining a highest common denominator set of components among the computing systems, producing a pseudo-clone configuration definition, and realizing one or more pseudo-clone computing systems as partially configured backups for the targeted computing systems. Upon a planned failover, actual failure, or quarantine action on a targeted computing system, a difference configuration is determined to complete the provisioning of the pseudo-clone system to serve as a replacement system for the failed or quarantined system. Failure predictions can be used to implement the pseudo-clone just prior to an expected first failure of any of the targeted systems. The system can also interface to an on-demand provisioning management system to effect automated workflows to realize pseudo-clones and replacement systems automatically, as needed.

Abstract: Near clones for a set of targeted computing systems are provided by determining a highest common denominator set of components among the computing systems, producing a pseudo-clone configuration definition, and realizing one or more pseudo-clone computing systems as partially configured backups for the targeted computing systems. Upon a planned failover, actual failure, or quarantine action on a targeted computing system, a difference configuration is determined to complete the provisioning of the pseudo-clone system to serve as a replacement system for the failed or quarantined system. Failure predictions can be used to implement the pseudo-clone just prior to an expected first failure of any of the targeted systems. The system can also interface to an on-demand provisioning management system to effect automated workflows to realize pseudo-clones and replacement systems automatically, as needed.

Abstract: Near clones for a set of targeted computing systems are provided by determining a highest common denominator set of components among the computing systems, producing a pseudo-clone configuration definition, and realizing one or more pseudo-clone computing systems as partially configured backups for the targeted computing systems. Upon a planned failover, actual failure, or quarantine action on a targeted computing system, a difference configuration is determined to complete the provisioning of the pseudo-clone system to serve as a replacement system for the failed or quarantined system. Failure predictions can be used to implement the pseudo-clone just prior to an expected first failure of any of the targeted systems. The system can also interface to an on-demand provisioning management system to effect automated workflows to realize pseudo-clones and replacement systems automatically, as needed.

Abstract: Near clones for a set of targeted computing systems are provided by determining a highest common denominator set of components among the computing systems, producing a pseudo-clone configuration definition, and realizing one or more pseudo-clone computing systems as partially configured backups for the targeted computing systems. Upon a planned failover, actual failure, or quarantine action on a targeted computing system, a difference configuration is determined to complete the provisioning of the pseudo-clone system to serve as a replacement system for the failed or quarantined system. Failure predictions can be used to implement the pseudo-clone just prior to an expected first failure of any of the targeted systems. The system can also interface to an on-demand provisioning management system to effect automated workflows to realize pseudo-clones and replacement systems automatically, as needed.

Abstract: Near clones for a set of targeted computing systems are provided by evaluating different configurations of the targeted computing systems including lists of installed hardware components and installed software components; determining a subset of components in common among the different configurations; determining an initial pseudo-clone configuration including the subset of components and excluding components which are not in common among the different target hardware configurations; for each of the targeted computing systems, producing a finish-out workflow of installation steps and components to be installed into an incompletely configured computer system according to the pseudo-clone configuration to produce an operational clone system; and outputting the pseudo-clone configuration and the workflow to a provisioning management system for subsequent realization of a pseudo-clone backup computing system and further subsequent realization of one or more operational clone systems.

Abstract: Enabling automated provisioning on a data processing network includes providing the network with access to an automated provisioning controller. The controller enables a user to specify resource allocation priorities and uses the user-specified priorities, in conjunction with a resource stabilization policy, to resolve conflicting resource requests. The resource allocation priorities include priorities for demand-based resource requests and maintenance-based resource requests. The stabilization policy includes a policy for constraining allocation of a resource based on forecasted demand and a policy for constraining allocation of a resource based on a scheduled maintenance task.

Abstract: A method and software for fulfilling a resource request in a data processing network includes specifying characteristics of the requested resource responsive to detecting the resource request. A set of attributes is then derived from the specified characteristics. The specified characteristics indicate broad or general properties of the needed resource while the derived attributes preferably indicate the hardware and software components of a resource ideally suited to fulfill the resource request. Attribute information associated an available resource is then evaluated against the attributes derived from the specified characteristics. An available resource is then selected, based on the evaluation, to satisfy the resource request. The attributes of the selected resource best match the attributes derived from the specified characteristics.