International Business Machines Corporation

Filis Omer

Erik Rueger

Laurentiu Gabriel Ghergu

Costel Moraru

Oriette Mohamed Nayel Mahmoud

A computer implemented method, computer readable storage medium, and computer system of operating a robotic process automation organization network comprising multiple software robots. The method includes receiving a task by a main robot via the network. The main robot is one of the multiple software robots. The task comprises a code package. The method also includes broadcasting a multicast request for services by the main robot to multiple software robots. Each robot is implemented as a computer program on individual computer systems of multiple computer systems via the network. The method further includes receiving a response by at least a portion of the multiple software robots via the network and selecting at least one worker robot from the multiple robots by the main robot and distributing at least a portion of the code package to the at least one worker robot by the main robot.

Robotic process automation organization

Systems, methods, and computer programming products leveraging recurrent neural network architectures to proactively predict workload demand of container orchestration platforms. The platform continuously collects metric data from clusters of the platform and train multiple parallel neural networks with different architectures to predict future platform workload demands. At periodic intervals, the registered neural networks in consideration for controlling the scaling operations of the platform are compared against one another to identify the neural network demonstrating the highest performance and/or most accurate workload prediction strategy for scaling the orchestration platform. The selected neural network is enforced as controller for the platform to implement the workload prediction strategy. The neural network controller enforced by the platform predictively scales up or down the number of pods within nodes of the platform and/or the number of clusters providing computational resources to the platform, in anticipation of future increased or decreased end user demand.

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Constanta, Romania

Filis Omer