Patents by Inventor Ziv Segal
Ziv Segal has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11928144Abstract: A computer implemented method of creating a clustering model used for clustering a plurality of log messages comprising using one or more processors for receiving a plurality of training log messages, performing the following for each of the plurality of training log messages: calculating a string distance between a textual content of the respective training log message and a representative string pattern of each of the plurality of clusters, associating the respective training log message with a respective one of the plurality of clusters in case the string distance is within a predefined threshold and adding a new cluster to the plurality of clusters for associating respective training log message in case the string distance exceeds the predefined threshold, and outputting the clustering model.Type: GrantFiled: December 8, 2021Date of Patent: March 12, 2024Assignee: LogsHero Ltd.Inventors: Tomer Levy, Asaf Yigal, Ziv Segal, Amir Kalron, Eran Nir, Asaf Mesika, Doron Gill
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Patent number: 11334602Abstract: A system and methods for classification of events, the system including a memory, a network interface, and a processor configured to monitor system events via the network interface and store the system events as an event log in the memory, collect information about events from various web resources, extract, from the event log and the collected event information, labeling data including data about urgency of events and generate, based on the extracted labeling data, labeling data structures ascribing labels to respective events, extract, from the event log and the collected event information, event features data and generate, based on the extracted event features data, event features data structures ascribing features to respective events, and formulate decision rule structures for identification of urgent events based on the labeling data structures and the event features data structures.Type: GrantFiled: August 9, 2018Date of Patent: May 17, 2022Assignee: LogsHero Ltd.Inventors: Ianir Ideses, Tomer Levy, Asaf Yigal, Ziv Segal
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Publication number: 20220092102Abstract: A computer implemented method of creating a clustering model used for clustering a plurality of log messages comprising using one or more processors for receiving a plurality of training log messages, performing the following for each of the plurality of training log messages: calculating a string distance between a textual content of the respective training log message and a representative string pattern of each of the plurality of clusters, associating the respective training log message with a respective one of the plurality of clusters in case the string distance is within a predefined threshold and adding a new cluster to the plurality of clusters for associating respective training log message in case the string distance exceeds the predefined threshold, and outputting the clustering model.Type: ApplicationFiled: December 8, 2021Publication date: March 24, 2022Applicant: LogsHero Ltd.Inventors: Tomer LEVY, Asaf YIGAL, Ziv SEGAL, Amir KALRON, Eran NIR, Asaf MESIKA, Doron GILL
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Patent number: 11216502Abstract: A computer implemented method of creating a clustering model used for clustering a plurality of log messages comprising using one or more processors for receiving a plurality of training log messages, performing the following for each of the plurality of training log messages: calculating a string distance between a textual content of the respective training log message and a representative string pattern of each of the plurality of clusters, associating the respective training log message with a respective one of the plurality of clusters in case the string distance is within a predefined threshold and adding a new cluster to the plurality of clusters for associating respective training log message in case the string distance exceeds the predefined threshold, and outputting the clustering model.Type: GrantFiled: June 5, 2018Date of Patent: January 4, 2022Assignee: LogsHero Ltd.Inventors: Tomer Levy, Asaf Yigal, Ziv Segal, Amir Kalron, Eran Nir, Asaf Mesika, Doron Gill
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Patent number: 11126472Abstract: A system for managing a plurality of shared computer resources, comprising at least one hardware processor adapted for: in at least one of a plurality of management iterations: computing statistical values each associated with one of a plurality of streams, where the streams are input to a plurality of computing processes which are used for processing the plurality of streams, executed using at least one of a plurality of shared computer resources; identifying according to an analysis of the statistical values at least one obstructing stream; allocating at least one new shared computer resource; creating a plurality of new computing processes which execute using the at least one new shared computer resource; and instructing inputting the at least one obstructing stream to the plurality of new computing processes instead of to the plurality of computing processes while the plurality of streams are inputted to the plurality of computing processes.Type: GrantFiled: June 5, 2019Date of Patent: September 21, 2021Assignee: LogsHero Ltd.Inventors: Roi Rav-Hon, Ianir Ideses, Ziv Segal
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Publication number: 20200387407Abstract: A system for managing a plurality of shared computer resources, comprising at least one hardware processor adapted for: in at least one of a plurality of management iterations: computing statistical values each associated with one of a plurality of streams, where the streams are input to a plurality of computing processes which are used for processing the plurality of streams, executed using at least one of a plurality of shared computer resources; identifying according to an analysis of the statistical values at least one obstructing stream; allocating at least one new shared computer resource; creating a plurality of new computing processes which execute using the at least one new shared computer resource; and instructing inputting the at least one obstructing stream to the plurality of new computing processes instead of to the plurality of computing processes while the plurality of streams are inputted to the plurality of computing processes.Type: ApplicationFiled: June 5, 2019Publication date: December 10, 2020Applicant: LogsHero Ltd.Inventors: Roi Rav-Hon, Ianir Ideses, Ziv Segal
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Publication number: 20190370347Abstract: A computer implemented method of creating a clustering model used for clustering a plurality of log messages comprising using one or more processors for receiving a plurality of training log messages, performing the following for each of the plurality of training log messages: calculating a string distance between a textual content of the respective training log message and a representative string pattern of each of the plurality of clusters, associating the respective training log message with a respective one of the plurality of clusters in case the string distance is within a predefined threshold and adding a new cluster to the plurality of clusters for associating respective training log message in case the string distance exceeds the predefined threshold, and outputting the clustering model.Type: ApplicationFiled: June 5, 2018Publication date: December 5, 2019Inventors: Tomer Levy, Asaf Yigal, Ziv Segal, Amir Kalron, Eran Nir, Asaf Mesika, Doron Gill
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Publication number: 20180373779Abstract: A system and methods for classification of events, the system including a memory, a network interface, and a processor configured to monitor system events via the network interface and store the system events as an event log in the memory, collect information about events from various web resources, extract, from the event log and the collected event information, labeling data including data about urgency of events and generate, based on the extracted labeling data, labeling data structures ascribing labels to respective events, extract, from the event log and the collected event information, event features data and generate, based on the extracted event features data, event features data structures ascribing features to respective events, and formulate decision rule structures for identification of urgent events based on the labeling data structures and the event features data structures.Type: ApplicationFiled: August 9, 2018Publication date: December 27, 2018Applicant: LogsHero Ltd.Inventors: Ianir IDESES, Tomer LEVY, Asaf YIGAL, Ziv SEGAL
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Patent number: 10055481Abstract: A system and methods for classification of events, the system including a memory, a network interface, and a processor configured to monitor system events via the network interface and store the system events as an event log in the memory, collect information about events from various web resources, extract, from the event log and the collected event information, labeling data including data about urgency of events and generate, based on the extracted labeling data, labeling data structures ascribing labels to respective events, extract, from the event log and the collected event information, event features data and generate, based on the extracted event features data, event features data structures ascribing features to respective events, and formulate decision rule structures for identification of urgent events based on the labeling data structures and the event features data structures.Type: GrantFiled: March 22, 2017Date of Patent: August 21, 2018Assignee: LogsHero Ltd.Inventors: Ianir Ideses, Tomer Levy, Asaf Yigal, Ziv Segal
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Publication number: 20180025071Abstract: A system and methods for classification of events, the system including a memory, a network interface, and a processor configured to monitor system events via the network interface and store the system events as an event log in the memory, collect information about events from various web resources, extract, from the event log and the collected event information, labeling data including data about urgency of events and generate, based on the extracted labeling data, labeling data structures ascribing labels to respective events, extract, from the event log and the collected event information, event features data and generate, based on the extracted event features data, event features data structures ascribing features to respective events, and formulate decision rule structures for identification of urgent events based on the labeling data structures and the event features data structures.Type: ApplicationFiled: March 22, 2017Publication date: January 25, 2018Inventors: Ianir IDESES, Tomer Levy, Asaf Yigal, Ziv Segal