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: A method for applying remediation policy to a cloud application package having a set of components is described. The method is initiated in response to discovery of a new vulnerability. It begins by comparing information from a deployment description against a data set of known problems associated with the one or more of the components. The deployment description represents the set of components and their interrelationships. For each of the one or more components, one or more known problems that satisfy a given severity and/or complexity criteria are identified. Thereafter, and with respect to at least one of the components for which one known problem satisfying the given criteria has been identified, the remediation policy (e.g., an update, a replacement, a patch, an additional installable) is applied to attempt to rectify the known problem. After applying the policy, the old version of the package is replaced with the new version.

Abstract: A method for applying remediation policy to a cloud application package having a set of components is described. The method is initiated in response to discovery of a new vulnerability. It begins by comparing information from a deployment description against a data set of known problems associated with the one or more of the components. The deployment description represents the set of components and their interrelationships. For each of the one or more components, one or more known problems that satisfy a given severity and/or complexity criteria are identified. Thereafter, and with respect to at least one of the components for which one known problem satisfying the given criteria has been identified, the remediation policy (e.g., an update, a replacement, a patch, an additional installable) is applied to attempt to rectify the known problem. After applying the policy, the old version of the package is replaced with the new version.

Abstract: A method for applying remediation policy to a cloud application package having a set of components is described. The method is initiated in response to discovery of a new vulnerability. It begins by comparing information from a deployment description against a data set of known problems associated with the one or more of the components. The deployment description represents the set of components and their interrelationships. For each of the one or more components, one or more known problems that satisfy a given severity and/or complexity criteria are identified. Thereafter, and with respect to at least one of the components for which one known problem satisfying the given criteria has been identified, the remediation policy (e.g., an update, a replacement, a patch, an additional installable) is applied to attempt to rectify the known problem. After applying the policy, the old version of the package is replaced with the new version.

Abstract: A method for applying remediation policy to a cloud application package having a set of components is described. The method is initiated in response to discovery of a new vulnerability. It begins by comparing information from a deployment description against a data set of known problems associated with the one or more of the components. The deployment description represents the set of components and their interrelationships. For each of the one or more components, one or more known problems that satisfy a given severity and/or complexity criteria are identified. Thereafter, and with respect to at least one of the components for which one known problem satisfying the given criteria has been identified, the remediation policy (e.g., an update, a replacement, a patch, an additional installable) is applied to attempt to rectify the known problem. After applying the policy, the old version of the package is replaced with the new version.

Abstract: A graphical user interface (GUI) in which a user may navigate through states of an information technology (IT) management process by selecting or deselecting the selectable objects in the GUI. When the user selects a first object in a first display window of the GUI, the first display window is changed to represent a first state of the IT management process based on the selected object, and the second display window is changed to show computing objects and relationships associated with the selected object. When the user selects another associated object in the first display window, the first display window is changed to represent a second state of the IT management process based on the selected object, and the and the second display window is changed to show computing objects and relationships associated with the selected object.

Abstract: A model-driven display for displaying metric annotations on a resource/relationship graph. Upon detecting selection of a set of computer resources in a system management graph, annotation options available to the selected set of computer resources are retrieved from an object model, wherein the object model defines computer resources in a data processing system and relationships among the computer resources, and wherein the annotation options represent resource metrics collected for the computer resources, A menu is created using the annotation options for the selected set of computer resources and displayed to a user in the graphical user interface. When selection of a set of annotation options in the menu is detected, the system management graph is updated to display annotations, corresponding to the selected set of annotation options, for the selected set or computer resources. The updated system management graph is then displayed to the user in the graphical user interface.

Abstract: A system for establishing and maintaining inventories of computing environment assets comprising one or more custom collector interfaces that detect movement of assets from one environment to another, and an inventory scanner which modifies inventories for each environment based on monitored asset movements. The present invention is of especial benefit to autonomic and on-demand computing architectures.

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: A model-driven display for displaying metric annotations on a resource/relationship graph. Upon detecting selection of a set of computer resources in a system management graph, annotation options available to the selected set of computer resources are retrieved from an object model, wherein the object model defines computer resources in a data processing system and relationships among the computer resources, and wherein the annotation options represent resource metrics collected for the computer resources, A menu is created using the annotation options for the selected set of computer resources and displayed to a user in the graphical user interface. When selection of a set of annotation options in the menu is detected, the system management graph is updated to display annotations, corresponding to the selected set of annotation options, for the selected set or computer resources. The updated system management graph is then displayed to the user in the graphical user interface.

Abstract: A method, apparatus, and computer instructions for sending a user's availability information to an instant messaging (IM) partner. A user predefines areas of the user's display and associates these predefined areas, or “hotspots”, with user defined messages. If the user is not available to immediately respond to an incoming message, the user may move the IM dialog window to a “hotspot” in the display. Depending upon the user-defined message associated with the “hotspot”, the IM application generates an automated response indicating the user's availability to respond to the message, and sends the message to the IM partner. The user also may predefine and associate the user's IM status with a “hotspot”. Moving an IM dialog window into a “hotspot” automatically changes the user's status based on the associated “hotspot”. This change is communicated to only the particular IM dialog window partner while other IM partners are unaffected.

Abstract: A system for establishing and maintaining inventories of computing environment assets comprising one or more custom collector interfaces that detect movement of assets from one environment to another, and an inventory scanner which modifies inventories for each environment based on monitored asset movements. The present invention is of especial benefit to autonomic and on-demand computing architectures.