Micro Focus Lcc

Hewlett Packard Enterprise Development LP

Venkatesh Ramteke

Krishna Mahadevan Ramakrishnan

Shiva Prakash Suragi Math

Shiva Prakash Sm

Tasks of a group are respectively assigned to devices for execution. For each task, a completion time for a task is determined based on an associated cluster of the device to which the task has been assigned for execution is determined. If the completion time of a task exceeds an execution window of the device to which the task has been assigned, the task is removed from the group. The tasks remaining in the group are executed on the devices to which the tasks have been assigned for execution.

Task execution based on whether task completion time exceeds execution window of device to which task has been assigned

Provided is a method of automatically discovering topology of an information technology (IT) infrastructure. Topology relationships amongst configuration items (CI) present in a semi-structured data generated by an information technology component of the IT infrastructure are determined. Topology relationships amongst configuration items (CI) present in a structured data generated by the information technology component of the IT infrastructure are determined. The topology relationships amongst the configuration items (CI) present in the semi-structured data are reconciled with the topology relationships amongst the configuration items (CI) present in the structured data.

Automatically discovering topology of an information technology (IT) infrastructure

Examples described relate to identifying a potentially erroneous device in an IoT network. In an example, data from a device in an IoT network. The data may be analyzed against a classification of previous data from the plurality of devices, wherein the classification classifies the previous data as one of an erroneous data, a potentially erroneous data, or a normal data. If the data from the device represents the erroneous data, the device may be included in a set of potentially erroneous devices. A cluster of the device may be determined in a cluster classification. If the device belongs to the erroneous cluster in the cluster classification, associated devices in the erroneous cluster may be added to the set of potentially erroneous devices. If a threshold amount of devices in the set of potentially erroneous devices is higher than a pre-defined value, a notification may be generated.

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Bengaluru, India

Venkatesh Ramteke