Abstract: A system for managing advisories for complex model nodes that can include a complex model, a graphical modeling application, and an advisory manager. The complex model can be configured to graphically represent a user-defined system as multiple nodes and relationships. The graphical modeling application can be configured to execute operations upon the complex model. The graphical modeling application can store data defining the graphical characteristics of the complex model as a notation model and data defining the semantic characteristics of the complex model as a semantic model. The notation model and the semantic model can be stored as separate data entities. The advisory manager can be configured to aggregate notifications and potential resolutions for the nodes of the complex model. The notifications and potential resolutions can be visually presented within the graphical modeling application.

Abstract: Embodiments of the present invention provide a method, system and computer program product for model driven deployment of component based applications. In an embodiment of the invention, a method for model driven deployment of component based applications can include selecting units representative of corresponding programmatic objects to be deployed into a target environment and specifying a deployment topology for the target environment. The method also can include matching portions of the units to different automation signatures and filtering the different automation signatures to a set of automation signatures based upon the deployment topology. The set of automation signatures can be ordered according to known dependencies of a corresponding deployment model and the ordered set of automation signatures can be bundled into an automation workflow and published to an automation engine for execution to deploy the programmatic objects into the target environment.

Abstract: A deployment modeling platform enables a user to model application characteristics of target software and to associate application modeling parameters to the modeled application characteristics. A user may also model environment characteristics of a target deployment environment and to associate environment modeling parameters to the modeled deployment environment characteristics. Still further, a user may create a deployment model that associates and maps selected parameters of the modeled application characteristics of the target software to associated parameters of the modeled environment characteristics of the deployment environment, and to verify that each parameter that relates to a requirement is mapped to and is fulfilled by an associated parameter that relates to a corresponding capability to determine whether validation problems exist in order to deploy the target software in the associated deployment environment.

Abstract: Embodiments of the present invention provide a method, system and computer program product for model driven deployment of component based applications. In an embodiment of the invention, a method for model driven deployment of component based applications can include selecting units representative of corresponding programmatic objects to be deployed into a target environment and specifying a deployment topology for the target environment. The method also can include matching portions of the units to different automation signatures and filtering the different automation signatures to a set of automation signatures based upon the deployment topology. The set of automation signatures can be ordered according to known dependencies of a corresponding deployment model and the ordered set of automation signatures can be bundled into an automation workflow and published to an automation engine for execution to deploy the programmatic objects into the target environment.

Abstract: A method for deploying a software product comprising a plurality of components is provided. The method can include reading a topological description of the software product and its components, wherein the topological description defines characteristics and dependencies of the components. The method can further include reading characteristics of a plurality of publishers and matching each of the plurality of components to one of the plurality of publishers according to the characteristics and dependencies of the components and the characteristics of the plurality of publishers. A publisher may be a computer connected to a network. The method can further include distributing the plurality of components among the plurality of publishers responsive to the step of matching and validating each set of components distributed to each publisher.

Abstract: A deployment modeling platform enables a user to model application characteristics of target software and to associate application modeling parameters to the modeled application characteristics. A user may also model environment characteristics of a target deployment environment and to associate environment modeling parameters to the modeled deployment environment characteristics. Still further, a user may create a deployment model that associates and maps selected parameters of the modeled application characteristics of the target software to associated parameters of the modeled environment characteristics of the deployment environment, and to verify that each parameter that relates to a requirement is mapped to and is fulfilled by an associated parameter that relates to a corresponding capability to determine whether validation problems exist in order to deploy the target software in the associated deployment environment.

Abstract: Embodiments of the present invention provide a method, system and computer program product for model driven deployment of component based applications. In an embodiment of the invention, a method for model driven deployment of component based applications can include selecting units representative of corresponding programmatic objects to be deployed into a target environment and specifying a deployment topology for the target environment. The method also can include matching portions of the units to different automation signatures and filtering the different automation signatures to a set of automation signatures based upon the deployment topology. The set of automation signatures can be ordered according to known dependencies of a corresponding deployment model and the ordered set of automation signatures can be bundled into an automation workflow and published to an automation engine for execution to deploy the programmatic objects into the target environment.

Abstract: A deployment modeling platform enables a user to model application characteristics of target software and to associate application modeling parameters to the modeled application characteristics. A user may also model environment characteristics of a target deployment environment and to associate environment modeling parameters to the modeled deployment environment characteristics. Still further, a user may create a deployment model that associates and maps selected parameters of the modeled application characteristics of the target software to associated parameters of the modeled environment characteristics of the deployment environment, and to verify that each parameter that relates to a requirement is mapped to and is fulfilled by an associated parameter that relates to a corresponding capability to determine whether validation problems exist in order to deploy the target software in the associated deployment environment.

Abstract: The present invention can include a solution for capturing user-defined custom elements for use in a graphical modeling application. Such a system can include a graphical modeling application and a custom element definition tool. The graphical modeling application can be configured to create semantic models that contain a static graphical elements and semantic data elements. The custom element definition tool can be configured to create a user-defined custom element for the graphical modeling application. The user-defined custom element can consist of one or more static graphical element and/or one or more semantic data element.

Abstract: Embodiments of the present invention provide a method, system and computer program product for model driven deployment of component based applications. In an embodiment of the invention, a method for model driven deployment of component based applications can include selecting units representative of corresponding programmatic objects to be deployed into a target environment and specifying a deployment topology for the target environment. The method also can include matching portions of the units to different automation signatures and filtering the different automation signatures to a set of automation signatures based upon the deployment topology. The set of automation signatures can be ordered according to known dependencies of a corresponding deployment model and the ordered set of automation signatures can be bundled into an automation workflow and published to an automation engine for execution to deploy the programmatic objects into the target environment.

Abstract: A system for managing advisories for complex model nodes that can include a complex model, a graphical modeling application, and an advisory manager. The complex model can be configured to graphically represent a user-defined system as multiple nodes and relationships. The graphical modeling application can be configured to execute operations upon the complex model. The graphical modeling application can store data defining the graphical characteristics of the complex model as a notation model and data defining the semantic characteristics of the complex model as a semantic model. The notation model and the semantic model can be stored as separate data entities. The advisory manager can be configured to aggregate notifications and potential resolutions for the nodes of the complex model. The notifications and potential resolutions can be visually presented within the graphical modeling application.

Abstract: A method for deploying a software product comprising a plurality of components is provided. The method can include reading a topological description of the software product and its components, wherein the topological description defines characteristics and dependencies of the components. The method can further include reading characteristics of a plurality of publishers and matching each of the plurality of components to one of the plurality of publishers according to the characteristics and dependencies of the components and the characteristics of the plurality of publishers. A publisher may be a computer connected to a network. The method can further include distributing the plurality of components among the plurality of publishers responsive to the step of matching and validating each set of components distributed to each publisher.

Abstract: A deployment modeling platform enables a user to model application characteristics of target software and to associate application modeling parameters to the modeled application characteristics. A user may also model environment characteristics of a target deployment environment and to associate environment modeling parameters to the modeled deployment environment characteristics. Still further, a user may create a deployment model that associates and maps selected parameters of the modeled application characteristics of the target software to associated parameters of the modeled environment characteristics of the deployment environment, and to verify that each parameter that relates to a requirement is mapped to and is fulfilled by an associated parameter that relates to a corresponding capability to determine whether validation problems exist in order to deploy the target software in the associated deployment environment.

Abstract: The present invention can include a solution for capturing user-defined custom elements for use in a graphical modeling application. Such a system can include a graphical modeling application and a custom element definition tool. The graphical modeling application can be configured to create semantic models that contain a static graphical elements and semantic data elements. The custom element definition tool can be configured to create a user-defined custom element for the graphical modeling application. The user-defined custom element can consist of one or more static graphical element and/or one or more semantic data element.

Abstract: The present invention can include a solution for handling abstract entities through the realization of conceptual objects within a modeling application. Such a system can include a semantic model and a modeling application. The semantic model can be configured to present relationships between entities. The entities can include both conceptual objects and concrete objects. A conceptual object can represent an abstract definition that can contain unfulfilled functional parameters. The conceptual object can be associated with another conceptual object or concrete object using a realization relationship. The modeling application can be configured to handle conceptual objects and realization relationships, while preserving the relational integrity of the semantic model.