公开(公告)号：US20220058668A1

公开(公告)日：2022-02-24

申请号：US16997275

申请日：2020-08-19

Applicant: eBay Inc.

Inventor： Hanzhang WANG ,  Yitong GENG ,  Huai JIANG ,  Zhanxiang ZHAO ,  Liangfei SU

IPC: G06Q30/02 ,  G06Q10/04

Abstract: Technologies are disclosed for implementing a time series forecasting model. A time series forecasting model comprising a periodic component is modified to include an event-based component comprising a long-term portion representing impacts greater than one period of the periodic component, and a short-term portion representing impacts shorter than one period of the periodic component. A forecast is output using the modified time series forecasting model.

公开(公告)号：US20230385175A1

公开(公告)日：2023-11-30

申请号：US18232525

申请日：2023-08-10

Applicant: eBay Inc.

Inventor： Hanzhang WANG ,  Huai JIANG ,  Liangfei SU ,  Selcuk KOPRU ,  Sanjeev KATARIYA ,  Wanxue LI

IPC: G06F11/34 ,  G06N20/00 ,  G06F11/07 ,  G06F11/32

CPC classification number: G06F11/3476 ,  G06F11/3409 ,  G06N20/00 ,  G06F11/0772 ,  G06F11/323

Abstract: Technologies are shown for generating process flow graphs from system trace data that involve obtaining raw distributed trace data for a system, aggregating the raw distributed trace data into aggregated distributed trace data, generating a plurality of process flow graphs from the aggregated distributed trace data, and storing the plurality of process flow graphs in a graphical store. A first critical path can be determined from the plurality of process flow graphs based on an infrastructure design for the system and a process flow graph corresponding to the first critical path provided for graphical display. Certain examples can determine a second critical path involving a selected element of the first critical path and provide the process flow graph for the second critical path for display. Some examples pre-process the aggregated distributed trace data to repair incorrect traces. Other examples merge included process flow graphs into longer graphs.

公开(公告)号：US20210294717A1

公开(公告)日：2021-09-23

申请号：US17209633

申请日：2021-03-23

Applicant: eBay Inc.

Inventor： Hanzhang WANG ,  Huai JIANG ,  Liangfei SU ,  Selcuk KOPRU ,  Sanjeev KATARIYA ,  Wanxue LI

IPC: G06F11/34 ,  G06F11/32 ,  G06F11/07 ,  G06N20/00

Abstract: Technologies are shown for generating process flow graphs from system trace data that involve obtaining raw distributed trace data for a system, aggregating the raw distributed trace data into aggregated distributed trace data, generating a plurality of process flow graphs from the aggregated distributed trace data, and storing the plurality of process flow graphs in a graphical store. A first critical path can be determined from the plurality of process flow graphs based on an infrastructure design for the system and a process flow graph corresponding to the first critical path provided for graphical display. Certain examples can determine a second critical path involving a selected element of the first critical path and provide the process flow graph for the second critical path for display. Some examples pre-process the aggregated distributed trace data to repair incorrect traces. Other examples merge included process flow graphs into longer graphs.

公开(公告)号：US20200293917A1

公开(公告)日：2020-09-17

申请号：US16351453

申请日：2019-03-12

Applicant: eBay Inc.

Inventor： Hanzhang WANG ,  Phuong Viet NGUYEN

IPC: G06N5/04 ,  G06N20/00 ,  G06F16/901

Abstract: Technologies are disclosed herein for enhancing machine learning (“ML”)-based anomaly detection systems using knowledge graphs. The disclosed technologies generate a connected graph that defines a topology of infrastructure components along with associated alarms generated by a ML component. The ML component generates the alarms by applying ML techniques to real-time data metrics generated by the infrastructure components. Scores are computed for the infrastructure components based upon the connected graph. A root cause of an anomaly affecting infrastructure components can then be identified based upon the scores, and remedial action can be taken to address the root cause of the anomaly. A user interface is also provided for visualizing aspects of the connected graph.