International Business Machines Corporation

Olivier Boehler

Ivan Deleuze

Guilhaume Garcia

Michael C Buzzetti

Frank J De Gilio

Sebastien Llaurency

Matthieu Debeaux

Francoise Alabiso

Gisela C Cheng

Anuja Deedwaniya

Christophe Menichetti

Cyril Armand

Shayne M Grant

Zamir G Gonzalez

Jagadish B Kotra

Reservation of resources for a service includes receiving a request for resources for a project duration with a start time and an end time; determining if the requested resources are available for the project duration; determining a utilization level of one or more resource provisioning components during a provisioning time prior to the start time of the project; and determining if the one or more resource provisioning components have capacity to handle the provisioning of resources for the request prior to the start time of the project. The one or more resource provisioning components can be reserved for a provisioning time prior to the start time of the project.

Provisioning of resources

A method, computer system, and a computer program product for shine visualization is provided. The present invention may include recognizing an object in a digital image loaded on a user device. The present invention may include assigning a shine index to the recognized object. The present invention may include determining, based on a plurality of pixel values corresponding to the recognized object, a direction of light relative to the recognized object. The present invention may include tracking a position of a user's eyes viewing the digital image on the user device. The present invention may include in response to detecting a movement in the position of the user's eyes, applying, in real-time, at least one filter to the recognized object to simulate a shining effect of the recognized object in the digital image.

Shine visualization

A method and associated computer system. A composed message portion, of an electronic message, that includes a hyperlink is sent to a set of content rendering emulators. Each emulator is configured to emulate a rendering of content accessible through the hyperlink on a respective particular platform. An emulation result is received from the set of content rendering emulators. The emulation result is indicative of the emulated rendering of the content accessible through the hyperlink on the respective particular platforms emulated by the content rendering emulators. It is determined whether the emulation result indicates that the content accessible through the hyperlink can be rendered in accordance with defined rendering criteria on at least one of the respective platforms prior to transmission of a message including the message portion, and if so then a validation message is generated, and if not then a warning message is generated.

Hyperlink validation

A method and associated computer system. A composed message portion, of an electronic message, that includes a hyperlink is received and sent to a set of content rendering emulators. Each emulator is configured to emulate a rendering of content accessible through the hyperlink on a respective particular platform. An emulation result is received from the set of content rendering emulators. The emulation result is indicative of the emulated rendering of the content sent accessible through the hyperlink on the respective particular platforms emulated by the content rendering emulators. It is determined whether the emulation result indicates that the content accessible through the hyperlink can be rendered in accordance with defined rendering criteria on at least one of the respective platforms prior to transmission of a message including the message portion, and if so then a validation message is generated, and if not then a warning message is generated.

A method, system, and computer program product for intelligent command prediction are provided. The method includes determining a command prediction preference associated with a user from user profile data, and selecting one or more command history repositories responsive to the command prediction preference. The one or more command history repositories include command history data collected from a plurality of users and classification data associated with the plurality of users. The method also includes calculating command probabilities for commands in the command history data of the selected one or more command history repositories as a function of the classification data associated with the plurality of users in relation to the user. The method additionally includes presenting a next suggested command as a command from the command history data of the selected one or more command history repositories with a highest calculated command probability.

Intelligent command prediction

Growing community of inventors

Montpellier, France

Olivier Boehler