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公开(公告)号：US20240220352A1
公开(公告)日：2024-07-04
申请号：US18607790
申请日：2024-03-18
申请人： ServiceNow, Inc.
IPC分类号： G06F11/07 , G06F11/34 , G06F18/214 , G06N20/00
CPC分类号： G06F11/079 , G06F11/3476 , G06F18/214 , G06N20/00
摘要： A system for root cause analysis based on process optimization data is provided. The system receives log data associated with a first trace between a first activity and a second activity of a process. The system further determines a state of inefficiency between the first activity and the second activity based on the received log data. The system further applies a first machine learning (ML) model on the received log data. The system further determines a first label and a first value to be associated with the first trace of the process based on the application of the first ML model. The system further generates presentation data associated with the determined state of inefficiency of the first trace based on the determination of the first label and the first value and further transmits the generated presentation data on a user device.
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公开(公告)号：US11977471B2
公开(公告)日：2024-05-07
申请号：US18212869
申请日：2023-06-22
申请人： ServiceNow, Inc.
发明人： Fabio Casati , Hans Joachim Gerhard Pohle , Sai Harini Chettla , Manjeet Singh , Jeroen van Gassel , Kiran Sarvabhotla
IPC分类号： H04L67/50 , G06F11/34 , G06F16/28 , H04L67/561
CPC分类号： G06F11/3476 , G06F16/285 , H04L67/535 , H04L67/561
摘要： An example embodiment may involve identifying local traces of related events within a plurality of event data repositories, wherein each of the event data repositories is respectively associated with a software application; using a clustering model, assigning the local traces into clusters; determining positive rules that define when pairs of the local traces are linked to a common global trace, and negative rules that define when the pairs are linked to different global traces; linking the pairs into global traces; iteratively training a similarity model to project the local traces into a vector space such that the pairs that are linked to common global traces exhibit a greater similarity with one another than the pairs that are linked to different global traces; and based on the similarity model as trained, linking further local traces to the global traces.
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公开(公告)号：US20230401139A1
公开(公告)日：2023-12-14
申请号：US18212869
申请日：2023-06-22
申请人： ServiceNow, Inc.
发明人： Fabio Casati , Hans Joachim Gerhard Pohle , Sai Harini Chettla , Manjeet Singh , Jeroen van Gassel , Kiran Sarvabhotla
IPC分类号： G06F11/34 , H04L67/561 , G06F16/28 , H04L67/50
CPC分类号： G06F11/3476 , H04L67/561 , G06F16/285 , H04L67/535
摘要： An example embodiment may involve identifying local traces of related events within a plurality of event data repositories, wherein each of the event data repositories is respectively associated with a software application; using a clustering model, assigning the local traces into clusters; determining positive rules that define when pairs of the local traces are linked to a common global trace, and negative rules that define when the pairs are linked to different global traces; linking the pairs into global traces; iteratively training a similarity model to project the local traces into a vector space such that the pairs that are linked to common global traces exhibit a greater similarity with one another than the pairs that are linked to different global traces; and based on the similarity model as trained, linking further local traces to the global traces.
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公开(公告)号：US20240211373A1
公开(公告)日：2024-06-27
申请号：US18086839
申请日：2022-12-22
申请人： ServiceNow, Inc.
IPC分类号： G06F11/36
CPC分类号： G06F11/3612 , G06F11/3692
摘要： An embodiment may involve obtaining a log regarding execution of a software application; obtaining indications of availabilities of resources related to the software application; determining, from the log and the indications of availabilities of the resources, a time series of software application activities; and training a prediction engine with the time series of software application activities, wherein the prediction engine as trained is configured to receive an input time series of further software application activities and generate an output time series that predicts additional software application activities. Another embodiment may involve obtaining an input time series of software application activities, wherein the input time series is based on a log regarding execution of a software application and includes indications of availabilities of resources associated with the software applications; and generating, using a prediction engine, an output time series based on the input time series that predicts additional software application activities.
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公开(公告)号：US11960353B2
公开(公告)日：2024-04-16
申请号：US17521474
申请日：2021-11-08
申请人： ServiceNow, Inc.
IPC分类号： G06F11/07 , G06F11/34 , G06F18/214 , G06N20/00
CPC分类号： G06F11/079 , G06F11/3476 , G06F18/214 , G06N20/00
摘要： A system for root cause analysis based on process optimization data is provided. The system receives log data associated with a first trace between a first activity and a second activity of a process. The system further determines a state of inefficiency between the first activity and the second activity based on the received log data. The system further applies a first machine learning (ML) model on the received log data. The system further determines a first label and a first value to be associated with the first trace of the process based on the application of the first ML model. The system further generates presentation data associated with the determined state of inefficiency of the first trace based on the determination of the first label and the first value and further transmits the generated presentation data on a user device.
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公开(公告)号：US11734150B1
公开(公告)日：2023-08-22
申请号：US17837706
申请日：2022-06-10
申请人： ServiceNow, Inc.
发明人： Fabio Casati , Hans Joachim Gerhard Pohle , Sai Harini Chettla , Manjeet Singh , Jeroen van Gassel , Kiran Sarvabhotla
IPC分类号： G06F11/34 , H04L67/561 , H04L67/50 , G06F16/28
CPC分类号： G06F11/3476 , G06F16/285 , H04L67/535 , H04L67/561
摘要： An example embodiment may involve identifying local traces of related events within a plurality of event data repositories, wherein each of the event data repositories is respectively associated with a software application; using a clustering model, assigning the local traces into clusters; determining positive rules that define when pairs of the local traces are linked to a common global trace, and negative rules that define when the pairs are linked to different global traces; linking the pairs into global traces; iteratively training a similarity model to project the local traces into a vector space such that the pairs that are linked to common global traces exhibit a greater similarity with one another than the pairs that are linked to different global traces; and based on the similarity model as trained, linking further local traces to the global traces.
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公开(公告)号：US20230146414A1
公开(公告)日：2023-05-11
申请号：US17521474
申请日：2021-11-08
申请人： ServiceNow, Inc.
CPC分类号： G06F11/079 , G06F11/3476 , G06K9/6256 , G06N20/00
摘要： A system for root cause analysis based on process optimization data is provided. The system receives log data associated with a first trace between a first activity and a second activity of a process. The system further determines a state of inefficiency between the first activity and the second activity based on the received log data. The system further applies a first machine learning (ML) model on the received log data. The system further determines a first label and a first value to be associated with the first trace of the process based on the application of the first ML model. The system further generates presentation data associated with the determined state of inefficiency of the first trace based on the determination of the first label and the first value and further transmits the generated presentation data on a user device.
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