International Business Machines Corporation

Ralf Altrichter

Oliver Augenstein

Hans-Ulrich Oldengott

Gerd Kehrer

Timo Kussmaul

Stephan Laertz

Peter Fischer

Martin Raitza

Dirk Heuzeroth

Stefan Huetter

Robert Martin Raitza

A method, system, and article to manage a backup procedure of one or more backup tasks in a computing system. A backup window within which the backup tasks are to be executed is defined, and the backup tasks within the backup window are scheduled. The process of the backup procedure is controlled during execution. The process of controlling the backup procedure includes calculating the prospective duration of all actually running and all future backup tasks, and cancelling low priority backup tasks in case a higher priority backup task is projected to continue beyond an end time (T) of the backup window.

Method and system for scheduling and controlling backups in a computer system

Methods, systems, and computer program products for operating an enterprise resource planning system. The method includes running a placeholder job in said enterprise resource planning system in response to a request from at least one client application for notification of at least one background processing event, wherein the placeholder job is executed in response to the at least one background processing event.

Enterprise resource planning with asynchronous notifications of background processing events

A simulation method and system. The method includes receiving by a simulation engine in a device driver, input simulation parameters data associated with a simulation process. The simulation engine calculates a simulated scaled down process time period for a device associated with the device driver. The simulation engine simulates the device. The simulation engine calculates an overall runtime period for the device. The overall runtime period is calculated based on the simulated scaled down process time period. The simulation engine transmits the overall runtime period to a simulator software application for generating an operating schedule for operating the device.

Device simulation method and system

The present invention relates to a method and respective system for binding a portlet into a web portal infrastructure comprising at least one portal and a plurality of portlets. A method in accordance with an embodiment includes: storing a portlet profile data structure, wherein the portlet profile data structure is associated with a portlet and is deployed at a portal server, and wherein the portlet profile data structure declares a portlet class and at least one portlet characteristic; storing a portlet binding policy data structure, which is associated with the portlet class and is deployed at a portal server, wherein the portlet binding policy data structure declares relations or conditions specifying the at least one portlet characteristic; during processing of an incoming request for a portlet, automatically selecting the portlet class, all stored portlet profile data structures, and the portlet binding policy data structure associated with the requested portlet; performing a cross-checking of the relations or conditions of the selected binding policy data structure against the portlet characteristics of the selected portlet profile data structures; automatically selecting a favorite portlet out of the selected portlets, which best matches best the cross-checking; and invoking the favorite portlet for rendering in response to the incoming request.

Dynamic binding of portlets

A method of calculating a navigation route based on an estimated energy consumption value that assigns a distance weight coefficient for each of the plurality of potential routes that corresponds to an estimated distance energy consumption value. The method also determines a cumulative interference weight coefficient for each of the plurality of potential routes corresponding to an estimated interference energy consumption value based on traversing at least one interference event in the potential route. Each cumulative interference weight coefficient may include a fixed event interference weight coefficient, a probable event interference weight coefficient, and a scheduled event interference weight coefficient. The system then determines total route energy consumption weight coefficients for each of the plurality of potential routes by adding the distance and cumulative interference weight coefficients, and selects a route from the plurality of potential routes based on a lowest total route energy consumption weight coefficient.

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Filderstadt, Germany

Ralf Altrichter