International Business Machines Corporation

Chad M Holliday

Michael D Elder

John Eric Swanke

Brad Lee Blancett

Daniel Christopher Berg

Narinder Makin

Alexander V Konstantinou

Timothy A Pouyer

Edward Charles Snible

Michael H Kalantar

Tamar Eilam

William Carlisle Arnold

Andrew Neil Trossman

Harm Sluiman

Lucinio Santos-Gomez

Saurabh Agarwal

Paul Darius Vytas

Alexander A Totok

Steven P Barbieri

John A Page

Hendra Suwanda

Noopur Agarwal

Alice Tse Yun Yeung

Alice Tae Yun Yeung

Provided is a method for performing an action based on a predictive outcome of an intended service deployment. The method includes receiving information pertaining to an intended service deployment. The method further includes receiving data pertaining to the intended service deployment based on the received information. The method further includes determining a predictive outcome of the intended service deployment based on the received data. The method further includes performing an action based on the predictive outcome.

Deployment of computer system services

According to one embodiment of the present invention, a system analyzes an environment specification document that specifies a proposed configuration of a full-stack environment for a computing system and that describes infrastructure, middleware, and application elements. The system correlates the environment specification document with an environment instantiated on the computing system from the environment specification document. The system determines an impact of changes in the proposed configuration on the environment instantiated on the computing system, and configures the computing system in accordance with the proposed configuration based on the determined impact. Embodiments of the present invention further include a method and computer program product for analyzing an environment specification document in substantially the same manners described above.

Assessing computing environment changes using specification documents

A model simplification tool can receive a command to simplify the presentation of a visually complex semantic model from a graphical modeling application. The visually complex semantic model can be comprised of a multitude of object representations and their associations, such that the usability of the model is impaired. An association status can be determined for each object representation, which can designate the object representation as autonomous, containment, or subordinate. The presentation of the visually complex semantic model can be consolidated based on the association status of object representations. Subordinate objects can be nested within containment objects to produce a simplified semantic model. The simplified semantic model can be rendered within the graphical modeling application.

Simplifying the presentation of a visually complex semantic model within a graphical modeling application

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.

Managing advisories for complex model nodes in a graphical modeling application

This invention provides an extensible means of defining the mechanism to find one or more type(s) or instance(s) of existing resources (files, databases, repositories, etc.) and automating their linkages to the artifacts to be created, based on the customizable matching rules.

Automated discovery of a topology of a distributed computing environment

A method and system are provided for encapsulation and re-use of a model. A modeling platform creates a governance contract governing the exportation and modification of elements of the model by other models. In response to a request to import at least one element of the model into a second model, the modeling platform exports the requested at least one element by reference only if the element has a governance setting that allows for exportation. In response to a request to modify at least one imported element of the model in the second model, the modeling platform determines the governance setting for the element. Then, the modeling platform modifies the element by composing the modification in the second model only if the element has a governance setting that allows modification.

Method and system for encapsulation and re-use of models

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.

Model driven deployment of composite applications

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.

Simplified deployment modeling

A widget adjustment event can be detected for a widget that is part of a model that is presented on a canvas of a user interface. On-canvas objects proximate to the widget can be adjusted. The on-canvas objects can include other widgets. The adjustments can be performed relative to a layout position of the widget after the widget adjustment event has occurred. Additional on-canvas objects further from the widget can the adjusted on-canvas objects can then be adjusted as necessary due to new positions of the adjusted on-canvas objects.

Automatically arranging widgets of a model within a canvas using iterative region based widget relative adjustments

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.

Automated deployment of defined topology in distributed computing environment

Computer implemented method, system and computer usable program code for configuring a computing system. A determination is made whether there are any errors in the model, and responsive to determining that there is at least one error in the model, a determination is made whether there is at least one resolution for correcting the at least one error. Responsive to determining that there is at least one resolution for correcting the at least one error, at least one resolution among the at least one resolution for correcting the at least one error is selected to form at least one selected resolution to correct the at least one error. The at least one selected resolution is applied to the model to form a transformed model, and the transformed model is output to a user.

Method and system for modeling, validating and automatically resolving goals and dependencies between elements within a topology

Computer implemented method, system and computer usable program code for configuring a computing system. A system for configuring a computing system includes a mechanism for creating a model of a computing system, a validator for determining whether there are any errors in the model, and a resolver, responsive to determining that there is at least one error in the model, for determining whether there is at least one resolution for correcting the at least one error. A selector, responsive to determining that there is at least one resolution for correcting the at least one error, selects at least one resolution among the at least one resolution for correcting the at least one error to form at least one selected resolution to correct the at least one error, and applies the at least one selected resolution to the model to form a transformed model. An output outputs the transformed model to a user.

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Holly Springs, NC, United States of America

Chad M Holliday