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AssigneeSiemens Aktiengesellschaft
InventorsInes Ugalde Diaz, Martin Sehr, Juan L. Aparicio Ojea, Michael Unkelbach
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A system and method are disclosed for orchestrating the execution of computing tasks. An orchestration engine can receive task requests over a network from a plurality of process engines. The process engines may correspond to respective edge or field devices that are remotely located as compared to the orchestration engine. Each task request may indicate at least one task requirement for executing a respective computing task. A plurality of computing instances that have available computing resources can be selected from a set of computing instances. A predicted runtime can be generated for each of the computing tasks. In an example, based on the predicted runtimes, task requirements, available computing resources, and associated network conditions, a schedule and allocation scheme are determined by the orchestration engine. The schedule and allocation scheme define when each of the plurality of computing tasks is performed, and which of the plurality of selected computing instances performs each of the plurality of computing tasks. The selected computing instances execute the plurality of computing tasks according to the schedule and allocation scheme.
A method for executing a plurality of computing tasks, the method comprising:
The method as recited in any one of the preceding claims, the method further comprising:
The method as recited in any one of the preceding claims, wherein generating the schedule and allocation scheme comprises performing a discrete stochastic optimization using the predicted runtimes, task requirements, and available computing resources as inputs to the discrete stochastic optimization.
A system for executing computing tasks, the system comprising:
Dependencies are inferred from the claim text.