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公开(公告)号:US10594542B2
公开(公告)日:2020-03-17
申请号:US15796687
申请日:2017-10-27
Applicant: Cisco Technology, Inc.
Inventor: Vimal Jeyakumar , Ali Parandehgheibi , Andy Sloane , Ashutosh Kulshreshtha , Navindra Yadav , Omid Madani
Abstract: Disclosed herein is a multi-level analysis for determining a root cause of a network problem by performing a first level of the multi-level process that includes collecting data from one or more network components, generating a set of system metrics where each system metric of the set representing a portion of the data, ranking the set of system metrics based on a level of correlation of each system metric to the network problem to yield a ranked set of system metrics, and providing a visual representation of the first level of the multi-level process. A second level of the multi-level process includes receiving an input identifying one or more of the ranked set of system metrics to be excluded from analysis and performing a conditional analysis using only ones of the set of system metrics that are not identified for exclusion.
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公开(公告)号:US20190132190A1
公开(公告)日:2019-05-02
申请号:US15796687
申请日:2017-10-27
Applicant: Cisco Technology, Inc.
Inventor: Vimal Jeyakumar , Ali Parandehgheibi , Andy Sloane , Ashutosh Kulshreshtha , Navindra Yadav , Omid Madani
Abstract: Disclosed herein is a multi-level analysis for determining a root cause of a network problem by performing a first level of the multi-level process that includes collecting data from one or more network components, generating a set of system metrics where each system metric of the set representing a portion of the data, ranking the set of system metrics based on a level of correlation of each system metric to the network problem to yield a ranked set of system metrics, and providing a visual representation of the first level of the multi-level process. A second level of the multi-level process includes receiving an input identifying one or more of the ranked set of system metrics to be excluded from analysis and performing a conditional analysis using only ones of the set of system metrics that are not identified for exclusion.
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公开(公告)号:US12039031B2
公开(公告)日:2024-07-16
申请号:US17023035
申请日:2020-09-16
Applicant: Cisco Technology, Inc.
Inventor: Ashutosh Kulshreshtha , Andy Sloane , Hiral Shashikant Patel , Uday Krishnaswamy Chettiar , Oliver Kempe , Bharathwaj Sankara Viswanathan , Navindra Yadav
IPC: G06F21/52 , G06F18/214 , G06F21/51 , G06F21/57 , G06N20/00
CPC classification number: G06F21/52 , G06F18/214 , G06F21/51 , G06F21/577 , G06N20/00
Abstract: The present disclosure provides systems, methods, and computer-readable media for implementing security polices at software call stack level. In one example, a method includes generating a call stack classification scheme for an application, detecting a call stack during deployment of the application; using the call stack classification scheme during runtime of the application, classifying the detected call stack as one of an authorized call stack or an unauthorized call stack to yield a classification; and applying a security policy based on the classification.
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14.
公开(公告)号:US20220159357A1
公开(公告)日:2022-05-19
申请号:US17529727
申请日:2021-11-18
Applicant: Cisco Technology, Inc.
Inventor: Ashutosh Kulshreshtha , Omid Madani , Vimal Jeyakumar , Navindra Yadav , Ali Parandehgheibi , Andy Sloane , Kai Chang , Khawar Deen , Shih-Chun Chang , Hai Vu
IPC: H04Q9/02 , H04L43/04 , G06F11/34 , H04L9/40 , H04L43/026 , H04L41/0631 , H04L41/0681
Abstract: An application and network analytics platform can capture telemetry from servers and network devices operating within a network. The application and network analytics platform can determine an application dependency map (ADM) for an application executing in the network. Using the ADM, the application and network analytics platform can resolve flows into flowlets of various granularities, and determine baseline metrics for the flowlets. The baseline metrics can include transmission times, processing times, and/or data sizes for the flowlets. The application and network analytics platform can compare new flowlets against the baselines to assess availability, load, latency, and other performance metrics for the application. In some implementations, the application and network analytics platform can automate remediation of unavailability, load, latency, and other application performance issues.
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15.
公开(公告)号:US11202132B2
公开(公告)日:2021-12-14
申请号:US17094815
申请日:2020-11-11
Applicant: Cisco Technology, Inc.
Inventor: Ashutosh Kulshreshtha , Omid Madani , Vimal Jeyakumar , Navindra Yadav , Ali Parandehgheibi , Andy Sloane , Kai Chang , Khawar Deen , Shih-Chun Chang , Hai Vu
Abstract: An application and network analytics platform can capture telemetry from servers and network devices operating within a network. The application and network analytics platform can determine an application dependency map (ADM) for an application executing in the network. Using the ADM, the application and network analytics platform can resolve flows into flowlets of various granularities, and determine baseline metrics for the flowlets. The baseline metrics can include transmission times, processing times, and/or data sizes for the flowlets. The application and network analytics platform can compare new flowlets against the baselines to assess availability, load, latency, and other performance metrics for the application. In some implementations, the application and network analytics platform can automate remediation of unavailability, load, latency, and other application performance issues.
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公开(公告)号:US20210067849A1
公开(公告)日:2021-03-04
申请号:US17094815
申请日:2020-11-11
Applicant: Cisco Technology, Inc.
Inventor: Ashutosh Kulshreshtha , Omid Madani , Vimal Jeyakumar , Navindra Yadav , Ali Parandehgheibi , Andy Sloane , Kai Chang , Khawar Deen , Shih-Chun Chang , Hai Vu
Abstract: An application and network analytics platform can capture telemetry from servers and network devices operating within a network. The application and network analytics platform can determine an application dependency map (ADM) for an application executing in the network. Using the ADM, the application and network analytics platform can resolve flows into flowlets of various granularities, and determine baseline metrics for the flowlets. The baseline metrics can include transmission times, processing times, and/or data sizes for the flowlets. The application and network analytics platform can compare new flowlets against the baselines to assess availability, load, latency, and other performance metrics for the application. In some implementations, the application and network analytics platform can automate remediation of unavailability, load, latency, and other application performance issues.
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公开(公告)号:US20200213181A1
公开(公告)日:2020-07-02
申请号:US16816604
申请日:2020-03-12
Applicant: Cisco Technology, Inc.
Inventor: Vimal Jeyakumar , Ali Parandehgheibi , Andy Sloane , Ashutosh Kulshreshtha , Navindra Yadav , Omid Madani
Abstract: Disclosed herein is a multi-level analysis for determining a root cause of a network problem by performing a first level of the multi-level process that includes collecting data from one or more network components, generating a set of system metrics where each system metric of the set representing a portion of the data, ranking the set of system metrics based on a level of correlation of each system metric to the network problem to yield a ranked set of system metrics, and providing a visual representation of the first level of the multi-level process. A second level of the multi-level process includes receiving an input identifying one or more of the ranked set of system metrics to be excluded from analysis and performing a conditional analysis using only ones of the set of system metrics that are not identified for exclusion.
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公开(公告)号:US20190182101A1
公开(公告)日:2019-06-13
申请号:US15834865
申请日:2017-12-07
Applicant: Cisco Technology, Inc.
Inventor: Ashutosh Kulshreshtha , Andy Sloane , Navindra Yadav , Oliver Kempe , Uday Krishnaswamy Chettiar , Vimal Jeyakumar
IPC: H04L12/24
CPC classification number: H04L41/0631 , H04L41/0622 , H04L41/069 , H04L41/22 , H04L41/5009
Abstract: The disclosed technology relates to log file processing techniques for root cause analysis of a network fabric. A system may be configured to identify a feature of interest in a log file and calculating an abnormal level for the feature of interest. The system is further configured to detect that a performance event has occurred during a time period, determine whether the feature of interest is at the abnormal level during the time period, and identify a correlation between the feature of interest and the performance event based on the determining.
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