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

IPC: G06F15/173 ,  H04Q9/02 ,  H04L12/26 ,  G06F11/34 ,  H04L29/06 ,  H04L12/24 ,  H04L29/08

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.

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

IPC: H04Q9/02 ,  H04L12/26 ,  G06F11/34 ,  H04L29/06 ,  H04L12/24

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.

公开(公告)号：US10904116B2

公开(公告)日：2021-01-26

申请号：US15045202

申请日：2016-02-16

Applicant: Cisco Technology, Inc.

Inventor： Sunil Kumar Gupta ,  Navindra Yadav ,  Michael Standish Watts ,  Ali Parandehgheibi ,  Shashidhar Gandham ,  Ashutosh Kulshreshtha ,  Khawar Deen

IPC: H04L12/26 ,  H04L29/06 ,  G06F9/455 ,  G06N20/00 ,  G06F21/55 ,  G06F21/56 ,  G06F16/28 ,  G06F16/2457 ,  G06F16/248 ,  G06F16/29 ,  G06F16/16 ,  G06F16/17 ,  G06F16/11 ,  G06F16/13 ,  G06F16/174 ,  G06F16/23 ,  G06F16/9535 ,  G06N99/00 ,  H04L9/32 ,  H04L12/24 ,  G06T11/20 ,  H04L12/841 ,  H04L12/725 ,  H04L12/715 ,  H04L12/723 ,  H04L29/08 ,  H04L12/851 ,  H04W84/18 ,  G06F21/53 ,  G06F3/0484 ,  H04L1/24 ,  H04W72/08 ,  H04L9/08 ,  H04J3/06 ,  H04J3/14 ,  H04L29/12 ,  H04L12/813 ,  H04L12/823 ,  H04L12/801 ,  H04L12/741 ,  H04L12/833 ,  H04L12/721 ,  G06F3/0482

Abstract: An example method according to some embodiments includes receiving flow data for a packet traversing a network. The method continues by determining a source endpoint group and a destination endpoint group for the packet. The method continues by determining that a policy was utilized, the policy being applicable to the endpoint group. Finally, the method includes updating utilization data for the policy based on the flow data.

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

IPC: H04L12/24 ,  G06N20/00

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.

公开(公告)号：US10686804B2

公开(公告)日：2020-06-16

申请号：US16179027

申请日：2018-11-02

Applicant: Cisco Technology, Inc.

Inventor： Navindra Yadav ,  Abhishek Ranjan Singh ,  Shashidhar Gandham ,  Ellen Christine Scheib ,  Omid Madani ,  Ali Parandehgheibi ,  Jackson Ngoc Ki Pang ,  Vimalkumar Jeyakumar ,  Michael Standish Watts ,  Hoang Viet Nguyen ,  Khawar Deen ,  Rohit Chandra Prasad ,  Sunil Kumar Gupta ,  Supreeth Hosur Nagesh Rao ,  Anubhav Gupta ,  Ashutosh Kulshreshtha ,  Roberto Fernando Spadaro ,  Hai Trong Vu ,  Varun Sagar Malhotra ,  Shih-Chun Chang ,  Bharathwaj Sankara Viswanathan ,  Fnu Rachita Agasthy ,  Duane Thomas Barlow

IPC: H04L29/06 ,  H04L12/26

Abstract: An example method includes detecting, using sensors, packets throughout a datacenter. The sensors can then send packet logs to various collectors which can then identify and summarize data flows in the datacenter. The collectors can then send flow logs to an analytics module which can identify the status of the datacenter and detect an attack.

公开(公告)号：US10567247B2

公开(公告)日：2020-02-18

申请号：US15145630

申请日：2016-05-03

Applicant: Cisco Technology, Inc.

Inventor： Ashutosh Kulshreshtha ,  Supreeth Hosur Nagesh Rao ,  Navindra Yadav ,  Anubhav Gupta ,  Sunil Kumar Gupta ,  Varun Sagar Malhorta ,  Shashidhar Gandham

IPC: G06F17/00 ,  H04L29/06 ,  H04L12/26 ,  G06F9/455 ,  G06N20/00 ,  G06F16/29 ,  G06F16/248 ,  G06F16/28 ,  G06F16/9535 ,  G06F16/2457 ,  G06F21/55 ,  G06F21/56 ,  H04L12/851 ,  H04L12/24 ,  H04W84/18 ,  H04L29/08 ,  G06F21/53 ,  H04L12/723 ,  G06F3/0484 ,  H04L1/24 ,  H04W72/08 ,  H04L9/08 ,  H04L9/32 ,  H04J3/06 ,  H04J3/14 ,  H04L29/12 ,  H04L12/813 ,  H04L12/823 ,  H04L12/801 ,  H04L12/741 ,  H04L12/833 ,  H04L12/721 ,  G06F3/0482 ,  G06T11/20 ,  H04L12/841 ,  H04L12/725 ,  H04L12/715 ,  G06F16/16 ,  G06F16/17 ,  G06F16/11 ,  G06F16/13 ,  G06N99/00 ,  G06F16/174 ,  G06F16/23

Abstract: An example method can include receiving a traffic report from a sensor and using the traffic report to detect intra-datacenter flows. These intra-datacenter flows can then be compared with a description of historical flows. The description of historical flows can identify characteristics of normal and malicious flows. Based on the comparison, the flows can be classified and tagged as normal, malicious, or anomalous. If the flows are tagged as malicious or anomalous, corrective action can be taken with respect to the flows. A description of the flows can then be added to the description of historical flows.

公开(公告)号：US20190260653A1

公开(公告)日：2019-08-22

申请号：US16403797

申请日：2019-05-06

Applicant: Cisco Technology, Inc.

Inventor： Navindra Yadav ,  Supreeth Hosur Nagesh Rao ,  Ashutosh Kulshreshtha ,  Omid Madani ,  Jackson Ngoc Ki Pang ,  Khawar Deen ,  Ellen Ellen Scheib

IPC: H04L12/26 ,  G06N20/00 ,  G06F16/29 ,  G06F16/2457 ,  G06F16/9535 ,  G06F16/28 ,  G06F16/248 ,  G06F21/56 ,  G06F21/55 ,  H04L29/06 ,  H04L12/813 ,  H04L9/32 ,  H04L9/08 ,  H04L12/721 ,  G06F21/53 ,  H04L12/24 ,  H04L12/851 ,  H04L12/725 ,  H04L12/823 ,  H04L29/12 ,  H04J3/14 ,  H04J3/06 ,  H04W72/08 ,  H04L1/24 ,  H04L29/08 ,  G06F3/0484 ,  H04L12/723 ,  H04L12/833 ,  H04L12/741 ,  H04L12/801 ,  H04W84/18 ,  H04L12/715 ,  H04L12/841 ,  G06T11/20 ,  G06F3/0482 ,  G06F16/11 ,  G06F16/17 ,  G06F16/13 ,  G06N99/00 ,  G06F16/16 ,  G06F16/23 ,  G06F16/174 ,  G06F9/455

Abstract: An example method can include monitoring a network to identify flows between nodes in the network. Once flows have been identified, the flows can be tagged and labelled according to the type of traffic they represent. If a flow represents malicious or otherwise undesirable traffic, it can be tagged accordingly. A request can then be made for a reputation score of an entity which can identify one or more nodes of the network.

公开(公告)号：US10326673B2

公开(公告)日：2019-06-18

申请号：US15984826

申请日：2018-05-21

Applicant: Cisco Technology, Inc.

Inventor： Ashutosh Kulshreshtha ,  Hai Trong Vu ,  Michael Standish Watts ,  Jackson Ngoc Ki Pang ,  Navindra Yadav ,  Khawar Deen

IPC: H04L12/26 ,  H04L29/06 ,  G06F9/455 ,  G06N20/00 ,  G06F16/29 ,  G06F16/248 ,  G06F16/28 ,  G06F16/9535 ,  G06F16/2457 ,  H04L12/851 ,  H04L12/24 ,  H04W84/18 ,  H04L29/08 ,  G06F21/53 ,  H04L12/723 ,  G06F3/0484 ,  H04L1/24 ,  H04W72/08 ,  H04L9/08 ,  H04L9/32 ,  H04J3/06 ,  H04J3/14 ,  H04L29/12 ,  H04L12/813 ,  H04L12/823 ,  H04L12/801 ,  H04L12/741 ,  H04L12/833 ,  H04L12/721 ,  G06F3/0482 ,  G06T11/20 ,  H04L12/841 ,  H04L12/725 ,  H04L12/715 ,  G06F21/55 ,  G06F21/56 ,  G06F16/16 ,  G06F16/17 ,  G06F16/11 ,  G06F16/13 ,  G06N99/00

Abstract: In one embodiment, a monitoring device (or module) monitors messages exchanged between nodes in a communication network. The monitoring device further determines, based on time stamp data associated with each message, one or more latency distributions of paired response times between the nodes, and determines a node topology consistent with each of the one or more latency distributions of paired response times between the nodes. In some embodiments, the monitoring device also generates a graph of the node topology showing one or more communication links between the nodes, and annotates each communication link of the one or more communication links with at least one of a mean response time or a median response time based on at least one of the latency distributions.

公开(公告)号：US20190182132A1

公开(公告)日：2019-06-13

申请号：US16280894

申请日：2019-02-20

Applicant: Cisco Technology, Inc.

Inventor： Sunil Kumar Gupta ,  Navindra Yadav ,  Michael Standish Watts ,  Ali Parandehgheibi ,  Shashidhar Gandham ,  Ashutosh Kulshreshtha ,  Khawar Deen

IPC: H04L12/26 ,  G06F16/29 ,  G06F16/2457 ,  G06F16/9535 ,  G06F16/28 ,  G06F16/248 ,  G06N20/00 ,  G06F21/56 ,  G06F21/55 ,  H04L29/06 ,  H04L12/813 ,  H04L9/32 ,  H04L9/08 ,  H04L12/721 ,  G06F21/53 ,  H04L12/24 ,  H04L12/851 ,  H04L12/725 ,  H04L12/823 ,  H04L29/12 ,  H04J3/14 ,  H04J3/06 ,  H04W72/08 ,  H04L1/24 ,  H04L29/08 ,  G06F3/0484 ,  H04L12/723 ,  H04L12/833 ,  H04L12/741 ,  H04L12/801 ,  H04W84/18 ,  H04L12/715 ,  H04L12/841 ,  G06T11/20 ,  G06F3/0482 ,  G06F16/11 ,  G06F16/17 ,  G06F16/13 ,  G06N99/00 ,  G06F16/16 ,  G06F16/23 ,  G06F16/174 ,  G06F9/455

Abstract: A method provides for receiving network traffic from a host having a host IP address and operating in a data center, and analyzing a malware tracker for IP addresses of hosts having been infected by a malware to yield an analysis. When the analysis indicates that the host IP address has been used to communicate with an external host infected by the malware to yield an indication, the method includes assigning a reputation score, based on the indication, to the host. The method can further include applying a conditional policy associated with using the host based on the reputation score. The reputation score can include a reduced reputation score from a previous reputation score for the host.

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.