International Business Machines Corporation

Tomasz Ploskon

Karol Cisowski

Michal S Paluch

Umit Bektas

Zbigniew Janusz Kosno

Jaroslaw Musial

Providing a method for real-time testing and monitoring of a business process management system in order to identify commonly failing parameters. Machine learning methods are used to run multiple rounds of testing of the business process management system to more accurately identify commonly failing parameters and to modify the business process by removing those identified parameters from future rounds of testing.

Real time testing and monitoring for business process management systems

An average computing resource usage for each computing resource associated with a client device is determined. A determination is made whether a workload associated with a database query request received by a database management system should be shared with the client device. In response to determining that the workload associated with the database query request should be shared, one or more plug-ins are transmitted from the database management system to the client device. The one or more plug-ins are software components that add specific features to at least one computer program on the client device. At least one portion of the workload associated with the database query request is transmitted to the client device. The client device processes the workload using the plug-ins, the computer program on the client device, any other programs required to process the workload, and the one or more computing resources associated with the client device.

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Cracow, Poland

Tomasz Ploskon