公开(公告)号：US20230305945A1

公开(公告)日：2023-09-28

申请号：US17703803

申请日：2022-03-24

Applicant: Amazon Technologies, Inc.

Inventor： Devesh Ratho ,  Ketan Vijayvargiya ,  Ahmed Gamal Hamed ,  Syed Furqhan Ulla ,  Anand Sachidananda ,  Mohammed Saad Ather ,  Jill Blue Lin ,  Alfred Bruno Herbst ,  Gaurav Rajendra Kataria ,  Ankita Verma

IPC: G06F11/36

CPC classification number: G06F11/364 ,  G06F11/3612

Abstract: Execution status of managed time series processing tasks may be tracked. Status of a time series processing task that operations on different portions of a time series may be respectively captured. A request for the status of one of the portions of the time series with respect to the time series processing task may be received. The status may be identified and returned. For failed tasks, a failure reason may be generated by the time series processing system and included in a response with a failure status.

公开(公告)号：US11983093B2

公开(公告)日：2024-05-14

申请号：US17703803

申请日：2022-03-24

Applicant: Amazon Technologies, Inc.

Inventor： Devesh Ratho ,  Ketan Vijayvargiya ,  Ahmed Gamal Hamed ,  Syed Furqhan Ulla ,  Sadanand Murthy Sachidananda ,  Mohammed Saad Ather ,  Jill Blue Lin ,  Alfred Bruno Herbst ,  Gaurav Rajendra Kataria ,  Ankita Verma

IPC: G06F11/36

CPC classification number: G06F11/364 ,  G06F11/3612

Abstract: Execution status of managed time series processing tasks may be tracked. Status of a time series processing task that operations on different portions of a time series may be respectively captured. A request for the status of one of the portions of the time series with respect to the time series processing task may be received. The status may be identified and returned. For failed tasks, a failure reason may be generated by the time series processing system and included in a response with a failure status.

公开(公告)号：US12192220B1

公开(公告)日：2025-01-07

申请号：US17851429

申请日：2022-06-28

Applicant: Amazon Technologies, Inc.

Inventor： Syed Ahsan Ishtiaque ,  Ketan Vijayvargiya ,  Mohammed Talal Yassar Azam ,  Jill Blue Lin ,  Mohammed Saad Ather ,  Ankur Mehrotra ,  Peter Goetz ,  Lenon Alexander Minorics ,  Patrick Bloebaum ,  Dominik Janzing ,  David Kernert ,  Sadanand Murthy Sachidananda ,  Shashank Srivastava ,  Laurent Callot ,  Ali Caner Turkmen

IPC: H04L9/40

Abstract: Techniques for anomaly and causality detection are described. An example includes receiving time series data; performing anomaly detection on the received time series data to detect at least one anomaly using an anomaly detection model; detecting a causal relationship between measures, wherein a set of measures are related when a first of the set of measures has a causal influence on a second of the set of measures, wherein a single time series is a metric and a measure is a numerical or categorical quantity a metric describes; and outputting a result of the anomaly and causality relationship detections.