Identifying mismatches between a logical model and node implementation

US2020177456A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2020177456-A1
Application numberUS-202016774774-A
CountryUS
Kind codeA1
Filing dateJan 28, 2020
Priority dateJun 19, 2017
Publication dateJun 4, 2020
Grant date

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Abstract

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Systems, methods, and computer-readable media analyzing memory usage in a network node. A network assurance appliance may be configured to obtain reference concrete level rules for a node in the network, obtain implemented concrete level rules for the node from the node in the network, compare the reference concrete level rules with the implemented concrete level rules, and determining that the implemented concrete level rules are not appropriately configured based on the comparison.

First claim

Opening claim text (preview).

What is claimed is: 1 . A computer-implemented method comprising: first obtaining reference concrete level rules for a node in a network, comprising: second obtaining a local logical model for a node from a global logical model, the global logical model containing instructions on how endpoints connected to the network communicate within the network, and the local logical model being a device specific portion of the global logical model that is specific to how the node communicates to the network; creating the reference concrete level rules for the node from the local logical model and software parameters of the node; third obtaining, from the node in the network, implemented concrete level rules for the node; comparing the reference concrete level rules with the implemented concrete level rules; and determining that the implemented concrete level rules are not appropriately configured based on the comparing; wherein the reference concrete level rules are specific to expected operability of the node, and the implemented concrete level rules are specific to actual operability of the node. 2 . The computer-implemented method of claim 1 , the second obtaining comprising generating, based on the global logical model, the local logical model for the node. 3 . The computer-implemented method of claim 1 , wherein the third obtain further comprising querying the node in the network for the implemented concrete level rules for the node. 4 . The computer-implemented method of claim 1 , the comparing comprises comparing a number of the reference concrete level rules with a number of the implemented concrete level rules. 5 . The computer-implemented method of claim 1 , wherein the network is a leaf-spine network and the node is a leaf node in the leaf-spine network. 6 . The computer-implemented method of claim 1 , wherein the reference concrete level rules are access control rules. 7 . The computer-implemented method of claim 1 , further comprising restarting the node in response to a positive result of the determining. 8 . A system comprising: one or more processors; and at least one computer-readable storage medium having stored therein instructions which, when executed by the one or more processors, cause the system to perform operations comprising: first obtaining reference concrete level rules for a node in a network, comprising: second obtaining a local logical model for a node from a global logical model, the global logical model containing instructions on how endpoints connected to the network communicate within the network, and the local logical model being a device specific portion of the global logical model that is specific to how the node communicates to the network; creating the reference concrete level rules for the node from the local logical model and software parameters of the node; third obtaining, from the node in the network, implemented concrete level rules for the node; comparing the reference concrete level rules with the implemented concrete level rules; and determining that the implemented concrete level rules are not appropriately configured based on the comparing; wherein the reference concrete level rules are specific to expected operability of the node, and the implemented concrete level rules are specific to actual operability of the node. 9 . The system of claim 8 , the second obtaining comprising generating, based on the global logical model, the local logical model for the node. 10 . The system of claim 8 , wherein the third obtain further comprising querying the node in the network for the implemented concrete level rules for the node. 11 . The system of claim 8 , the comparing comprises comparing a number of the reference concrete level rules with a number of the implemented concrete level rules. 12 . The system of claim 8 , wherein the network is a leaf-spine network and the node is a leaf node in the leaf-spine network. 13 . The system of claim 8 , wherein the reference concrete level rules are access control rules. 14 . The system of claim 8 , the operations further comprising restarting the node in response to a positive result of the determining. 15 . A non-transitory computer-readable storage medium having stored therein instructions which, when executed, cause a system to perform operations comprising: first obtaining reference concrete level rules for a node in a network, comprising: second obtaining a local logical model for a node from a global logical model, the global logical model containing instructions on how endpoints connected to the network communicate within the network, and the local logical model being a device specific portion of the global logical model that is specific to how the node communicates to the network; creating the reference concrete level rules for the node from the local logical model and software parameters of the node; third obtaining, from the node in the network, implemented concrete level rules for the node; comparing the reference concrete level rules with the implemented concrete level rules; and determining that the implemented concrete level rules are not appropriately configured based on the comparing; wherein the reference concrete level rules are specific to expected operability of the node, and the implemented concrete level rules are specific to actual operability of the node. 16 . The non-transitory computer-readable storage medium of claim 15 , the second obtaining comprising generating, based on the global logical model, the local logical model for the node. 17 . The non-transitory computer-readable storage medium of claim 15 , wherein the third obtain further comprising querying the node in the network for the implemented concrete level rules for the node. 18 . The non-transitory computer-readable storage medium of claim 15 , the comparing comprises comparing a number of the reference concrete level rules with a number of the implemented concrete level rules. 19 . The non-transitory computer-readable storage medium of claim 15 , wherein the network is a leaf-spine network and the node is a leaf node in the leaf-spine network. 20 . The non-transitory computer-readable storage medium of claim 15 , wherein the reference concrete level rules are access control rules.

Assignees

Inventors

Classifications

  • Electricity · mapped topic

  • Additional information in the notification, e.g. enhancement of specific meta-data · CPC title

  • Access control lists [ACL] · CPC title

  • Assignment of logical groups to network elements · CPC title

  • Discovery or management of network topologies · CPC title

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What does patent US2020177456A1 cover?
Systems, methods, and computer-readable media analyzing memory usage in a network node. A network assurance appliance may be configured to obtain reference concrete level rules for a node in the network, obtain implemented concrete level rules for the node from the node in the network, compare the reference concrete level rules with the implemented concrete level rules, and determining that the…
Who is the assignee on this patent?
Cisco Tech Inc
What technology area does this patent fall under?
Primary CPC classification H04L41/0869. Mapped technology areas include Electricity.
When was this patent published?
Publication date Thu Jun 04 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).