International Business Machines Corporation

Michael D Elder

Daniel Christopher Berg

John Eric Swanke

Brad Lee Blancett

Chad M Holliday

Narinder Makin

Alexander V Konstantinou

Timothy A Pouyer

Edward Charles Snible

Vaughn Theodore Rokosz

Matthew G Schultz

Jason Y Jho

Andrew Lewis Schirmer

Michael H Kalantar

Tamar Eilam

William Carlisle Arnold

Ritchard Leonard Schacher

Andrew Neil Trossman

Lucinio Santos

Sara Russell

John-Mason P Shackelford

Indrajit Poddar

Yulia Gaponenko

Yuri Pravosud

Harm Sluiman

Lucinio Santos-Gomez

Saurabh Agarwal

Paul Darius Vytas

Marijane M Zeller

Alexander A Totok

Derek Francis Holt

John David Lanuti

Oliver Heinz

Daniel D K Stratton

Geoffrey W Corey

Steven P Barbieri

John A Page

Michael S Mckay

Hendra Suwanda

Jason Robert McGee

Lawrence Scott Rich

Gidon Gershinsky

Boaz Carmeli

Timothy Marc Francis

Christopher Hoang Doan

James Patrick Goodwin

Jason Ashley Sholl

Sachin P Patel

L Scott Rich

Charles Dyer Bridgham

John Justin Duigenan

Vijay Kumar Bhadriraju

Patrick James Kelley, Jr

Alice Tae Yun Yeung

Alice Tse Yun Yeung

Jialin C Chen

Kai Niu

Jiali Huang

Janet L Green

A method for recommending an action to a user of a user device includes receiving first user action data corresponding to a first user action and receiving second user action data corresponding to a second user action. The method also includes generating, based on the first user action data and the second user action data and using a feedforward artificial neural network, a recommendation for a next user action. The method also includes causing the recommendation for the next user action to be communicated to the user device.

Cooperative neural network for recommending next user action

A method obtains a configuration for an automated process that includes discrete tasks. The configuration specifies a corresponding container image, of a plurality of different container images, for each discrete task of the discrete tasks, and further specifies a sequence in which to instantiate a plurality of containers from the plurality of container images to perform the discrete tasks and complete the automated process. The method identifies from the configuration a next container image from which to instantiate a next container for execution to perform a next discrete task, the next discrete task corresponding to the next container image and next container instantiated from the next container image. The method initiates instantiation of the next container from the next container image to initiate execution of the container to perform the next discrete task. The method also repeats the identifying and the initiating instantiation for each next container image.

Container chaining for automated process completion

Provided are techniques for modeling operational units, each operational unit corresponding to an operational workflow and to one or more deployment engines of a plurality of deployment engines; selecting, for each of the plurality of operational units, one of the corresponding deployment engines; ordering the operational units with respect to the operational workflow; grouping the ordered operation units according to the selected deployment engines into deployment engine groupings; mapping output parameters corresponding to a first operational unit that concludes a first deployment engine grouping to input parameters corresponding to a second operational unit that initiates a second deployment engine grouping, inserting between the first operational unit and the second operational unit a transitional operational unit for transitioning between a first deployment engine corresponding to the first deployment engine grouping and a second deployment engine corresponding to the second deployment engine grouping to generate a multi-deployment engine operational workflow.

Discovery and modeling of deployment actions for multiple deployment engine providers

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 contextual organization chart based on two selected individuals is constructed from a database of individual names, manager names, and profiles. Awareness data is provided for people in the organization, a people awareness indicator and a nesting control indicator are appended to names in the constructed view. A user may access profile data by selecting a name in the view, expand the view to show additional individuals by selecting a nesting control indicator, or initiate a communication with an individual by selecting an awareness indicator.

Displaying a contextual organization chart with awareness

Provided are techniques for modeling operational units, each operational unit corresponding to an operational workflow and to one or more deployment engines of a plurality of deployment engines; selecting, for each of the plurality of operational units, one of the corresponding deployment engines; ordering the operational units with respect to the operational workflow; grouping the ordered operation units according to the selected deployment engines into deployment engine groupings; mapping output parameters corresponding to a first operational unit that concludes a first deployment engine grouping to input parameters corresponding to a second operational unit that initiates a second deployment engine grouping, inserting between the first operational unit and the second operational unit a transitional operational unit for transitioning between a first deployment engine corresponding to the first deployment engine grouping and as second deployment engine corresponding to the second deployment engine grouping to generate a multi-deployment engine operational workflow.

A system for visualizing a congruency of versions of an application across phases of a release pipeline includes a selecting engine to select a phase from a number of phases; a representing engine to represent, via a user interface (UI), a congruency for a number of versions of an application compared against a target version of the application across the phases of a release pipeline, the congruency for the number of versions of the application represented with identifiers; a differentiating engine to differentiate a latest-deployed version of the application against a planned version of the application in a particular environment; and a comparing engine to compare, based on a selection, properties of the versions of the application.

Visualizing a congruency of versions of an application across phases of a release pipeline

A method for visualizing a congruency of versions of an application across phases of a release pipeline includes a selecting engine to select a phase from a number of phases; a representing engine to represent, via a user interface (UI), a congruency for a number of versions of an application compared against a target version of the application across the phases of a release pipeline, the congruency for the number of versions of the application represented with identifiers; a differentiating engine to differentiate a latest-deployed version of the application against a planned version of the application in a particular environment; and a comparing engine to compare, based on a selection, properties of the versions of the application.

Three methods for converting sketch shapes into semantic elements by way of a semantic editor are disclosed. First, a method for conversion of a sketch shape that is part of a nested shape combination, which includes a sketch shape either hosting or nested within a semantic element. Second, a method for conversion of sketch shapes to semantic elements by storing sketch shape names and sketch shape descriptions in correlation with specific semantic elements and properties. The stored correlation is referenced for subsequent sketch shapes names or descriptions that are the same or a subset of the stored sketch shape name or description. Third, a method of conversion of one or more sketch shapes into a semantic template containing a plurality of semantic elements. Each of the one or more sketch shapes is mapped to a specific semantic element within the semantic template.

Method for modeling using sketches

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

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Durham, NC, United States of America

Michael D Elder