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公开(公告)号：US10756949B2
公开(公告)日：2020-08-25
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
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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公开(公告)号：US20200169470A1
公开(公告)日：2020-05-28
申请号：US16778515
申请日：2020-01-31
Applicant: Cisco Technology, Inc.
Inventor： Ali Parandehgheibi , Ashutosh Kulshreshtha , Michael Watts , Navindra Yadav , Vimal Jeyakumar
Abstract: The disclosed technology relates to assisting with the migration of networked entities. A system may be configured to collect operations data for a service from at least one endpoint host in a network, calculate at least one metric for the service based on the operations data, retrieve a migration configuration and platform data for a target platform, generate a predicted cost for the migration configuration based on the migration configuration, the at least one metric, and the platform data, and provide the predicted cost for the migration configuration to a user.
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公开(公告)号：US20190123972A1
公开(公告)日：2019-04-25
申请号：US15790412
申请日：2017-10-23
Applicant: Cisco Technology, Inc.
Inventor： Ali Parandehgheibi , Ashutosh Kulshreshtha , Michael Watts , Navindra Yadav , Vimal Jeyakumar
Abstract: The disclosed technology relates to assisting with the migration of networked entities. A system may be configured to collect operations data for a service from at least one endpoint host in a network, calculate at least one metric for the service based on the operations data, retrieve a migration configuration and platform data for a target platform, generate a predicted cost for the migration configuration based on the migration configuration, the at least one metric, and the platform data, and provide the predicted cost for the migration configuration to a user.
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14.发明申请公开(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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Patent Agency Ranking
15.发明授权公开(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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公开(公告)号：US20180278498A1
公开(公告)日：2018-09-27
申请号：US15467814
申请日：2017-03-23
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Weifei Zeng , Ali Parandehgheibi , Vimal Jeyakumar , Omid Madani , Navindra Yadav
IPC: H04L12/26
CPC classification number: H04L43/045 , H04L43/026 , H04L43/08
Abstract: A application and network analytics platform can capture telemetry (e.g., flow data, server data, process data, user data, policy data, etc.) within a network. The application and network analytics platform can determine flows between servers (physical and virtual servers), server configuration information, and the processes that generated the flows from the telemetry. The application and network analytics platform can compute feature vectors for the processes. The application and network analytics platform can utilize the feature vectors to assess various degrees of functional similarity among the processes. These relationships can form a hierarchical graph providing different application perspectives, from a coarse representation in which the entire data center can be a “root application” to a fine representation in which it may be possible to view the individual processes running on each server.
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