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AssigneeInternational Business Machines Corporation
InventorsAaron K. Baughman, Thomas Benjamin Harrison, Brian M. O'Connell, Herbert D. Pearthree
Estimating the term…
At a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset of the set of devices is selected to form a cluster of devices. Each device in the first subset satisfies a clustering condition. A first device in the first subset is instructed to configure an application at the first device to participate in the cluster and process the workload. From a performance check on the first device, a change is discovered in a performance metric. In response to the change resulting from an increased demand for a computing resource at the first device, the first device is replaced with a second device from the first subset.
A method for distributed processing using drift-based dynamic clustering of Internet of Things (IoT) devices, the method comprising:
A computer program product for distributed processing using drift-based dynamic clustering of Internet of Things (IoT) devices, the computer program product comprising one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices, the stored program instructions comprising:
A computer system for distributed processing using drift-based dynamic clustering of Internet of Things (IoT) devices, the computer system comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the stored program instructions comprising:
Dependencies are inferred from the claim text.