Detection of multiple signal anomalies using zone-based value determination

    公开(公告)号:US10560365B1

    公开(公告)日:2020-02-11

    申请号:US15716219

    申请日:2017-09-26

    Inventor: Marco Losito

    Abstract: Techniques for detecting a predetermined waveform pattern in a signal received at a system are disclosed herein. A standard deviation and an average of the signal are calculated and used to determine a plurality of zones for the signal. A plurality of samples is obtained from the signal and one of the zones is associated with each of the samples. Transitions of the signal between the zones are identified based on the association of the zones with the samples. A predetermined waveform pattern may be detected in the signal based on the transitions between the zones. A notification may be generated indicating that the predetermined waveform pattern is detected based on a correspondence of the transitions of the signal matching a set of the predetermined transitions.

    Multi-layer network for metric aggregation

    公开(公告)号:US11303582B1

    公开(公告)日:2022-04-12

    申请号:US16456896

    申请日:2019-06-28

    Inventor: Marco Losito

    Abstract: A multi-layered parallel aggregation can be performed on large-scale metric streams using layers of independent host server computers that perform partial aggregations on results of a previous layer and pass a result of the partial aggregation to a next layer of host server computers, until a single host server computer in a last layer can calculate a final output, which is a combination of the partial aggregations. Because every layer is aggregating input streams, the quantity of data exchange lowers as the layer number increases. The number of layers is chosen so as to ensure that data ingested by a last layer is sufficiently manageable that a single host server computer in the last layer can aggregate all of the partial aggregates into a final result.

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