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公开(公告)号:US20210144073A1
公开(公告)日:2021-05-13
申请号:US17153785
申请日:2021-01-20
Applicant: Cisco Technology, Inc.
Inventor: Sunil Kumar Gupta , Navindra Yadav , Michael Standish Watts , Ali Parandehgheibi , Shashidhar Gandham , Ashutosh Kulshreshtha , Khawar Deen
IPC: H04L12/26 , 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 , 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 , G06T11/20 , H04L12/841 , H04L12/725
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.
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公开(公告)号:US10904071B2
公开(公告)日:2021-01-26
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:US20200304523A1
公开(公告)日:2020-09-24
申请号:US16899190
申请日:2020-06-11
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
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.
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公开(公告)号:US20200287806A1
公开(公告)日:2020-09-10
申请号:US16884449
申请日:2020-05-27
Applicant: Cisco Technology, Inc.
Inventor: Ashutosh Kulshreshtha , Navindra Yadav , Khawar Deen , Jackson Pang , Supreeth Rao
Abstract: An application and network analytics platform can capture comprehensive telemetry from servers and network devices operating within a network. The platform can discover flows running through the network, applications generating the flows, servers hosting the applications, computing resources provisioned and consumed by the applications, and network topology, among other insights. The platform can generate various models relating one set of application and network performance metrics to another. For example, the platform can model application latency as a function of computing resources provisioned to and/or actually used by the application, its host's total resources, and/or the distance of its host relative to other elements of the network. The platform can change the model by moving, removing, or adding elements to predict how the change affects application and network performance. In some situations, the platform can automatically act on predictions to improve application and network performance.
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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:US10554501B2
公开(公告)日:2020-02-04
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
IPC: G06F15/173 , H04L12/24 , G06F9/48
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: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:US10243817B2
公开(公告)日:2019-03-26
申请号:US15171580
申请日:2016-06-02
Applicant: Cisco Technology, Inc.
Inventor: Sunil Kumar Gupta , Navindra Yadav , Michael Standish Watts , Ali Parandehgheibi , Shashidhar Gandham , Ashutosh Kulshreshtha , Khawar Deen
IPC: H04L9/00 , H04L12/26 , H04L29/06 , G06F9/455 , G06F17/30 , H04L12/851 , H04L12/24 , H04W84/18 , H04L29/08 , G06N99/00 , 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
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.
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公开(公告)号:US20190081959A1
公开(公告)日:2019-03-14
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
CPC classification number: H04L63/1408 , H04L43/04 , H04L43/062 , H04L43/0894 , H04L63/02 , H04L63/1425
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.
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公开(公告)号:US10033766B2
公开(公告)日:2018-07-24
申请号:US15133155
申请日:2016-04-19
Applicant: Cisco Technology, Inc.
Inventor: Sunil Kumar Gupta , Navindra Yadav , Michael Standish Watts , Ali Parandehgheibi , Shashidhar Gandham , Ashutosh Kulshreshtha , Khawar Deen
Abstract: A network can achieve compliance by defining and enforcing a set of network policies to secure protected electronic information. The network can monitor network data, host/endpoint data, process data, and user data for traffic using a sensor network that provides multiple perspectives. The sensor network can include sensors for networking devices, physical servers, hypervisors or shared kernels, virtual partitions, and other network components. The network can analyze the network data, host/endpoint data, process data, and user data to determine policies for traffic. The network can determine expected network actions based on the policies, such as allowing traffic, denying traffic, configuring traffic for quality of service (QoS), or redirecting traffic along a specific route. The network can update policy data based on the expected network actions and actual network actions. The policy data can be utilized for compliance.
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