US2024015065A1PendingUtilityA1

Method for generating network optimizing information

Assignee: RISC NETWORKS LLCPriority: Jul 9, 2012Filed: Jun 5, 2023Published: Jan 11, 2024
Est. expiryJul 9, 2032(~5.9 yrs left)· nominal 20-yr term from priority
H04L 41/0823G06Q 10/10H04L 43/18H04L 41/14H04L 43/08
71
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Claims

Abstract

There is provided a method for generating network optimizing information including the steps of identifying system devices that are comprised in a network, collecting metrics from the identified system devices, including collecting at least one metric relating to the operation, status, capability, limitations, expandability, scalability, or performance of the system devices, assessing the collected metrics according to a predetermined assessment protocol, generating a roster of metrics of interest, such metrics of interest being a group of the collected metrics that meet a selection criteria and not including other collected metrics that do not meet the selection criteria, and presenting each of the metrics of interest in a format suitable for a network operator to take corrective actions with regard to the identified noncompliant metrics or to capitalize on the identified optimization opportunities with respect to the network.

Claims

exact text as granted — not AI-modified
1 - 5 . (canceled) 
     
     
         6 . A computer-implemented method comprising:
 under control of a computing system comprising one or more computing devices configured to execute specific instructions,
 determining a set of one or more network metrics based at least partly on network communications among network resources in a networked environment; 
 determining that a network metric of the set of one or more network metrics is a non-compliant metric based on the network metric falling outside a corresponding compliance range of values; 
 generating a normalized score for the non-compliant metric based at least partly on a degree to which the non-compliant metric deviates from the corresponding compliance range of values; 
 identifying the non-compliant metric as a metric of based at least partly on the normalized score for the non-compliant metric; 
 identifying a peer group classification for the networked environment based at least partly on the metric of interest, wherein the peer group classification comprises a classification of the networked environment among a set of one or more additional networked environments; and 
 displaying, through an electronic interface, data regarding the peer group classification. 
   
     
     
         7 . The computer-implemented method of  claim 6 , further comprising determining a comparison property associated with the metric of interest for the set of one or more additional networked environments. 
     
     
         8 . The computer-implemented method of  claim 6 , further comprising identifying the non-compliant metric as a metric of interest based at least partly on the metric of interest being associated with a deficiency. 
     
     
         9 . The computer-implemented method of  claim 8 , further comprising determining, for each remedial resource of a plurality of remedial resources, a respective relevancy score representing a degree of responsiveness to correct the deficiency. 
     
     
         10 . The computer-implemented method of  claim 9 , further comprising displaying, through the electronic interface, data regarding the metric of interest and the plurality of remedial resources. 
     
     
         11 . The computer-implemented method of  claim 9 , further comprising ranking the plurality of remedial resources according to one of a priority or a preference. 
     
     
         12 . The computer-implemented method of  claim 6 , further comprising receiving, via the electronic interface, user input regarding an adjustment to the peer group classification. 
     
     
         13 . The computer-implemented method of  claim 12 , further comprising determining a second set of one or more additional networked environments associated with the peer group classification based at least partly on the adjustment to the peer group classification. 
     
     
         14 . The computer-implemented method of  claim 6 , further comprising generating a roster of metrics of interest, wherein the roster of metrics of interest comprises a subset of the set of one or more network metrics, wherein individual metrics of interest of the roster of metrics of interest satisfy a selection criterion, and wherein individual network metrics of the set of one or more network metrics not included in the roster of metrics of interest do not satisfy the selection criterion. 
     
     
         15 . The computer-implemented method of  claim 14 , further comprising generating a hierarchical representation of the roster of metrics of interest and corresponding remedial resources. 
     
     
         16 . A system comprising:
 computer-readable memory storing executable instructions; and   one or more processors in communication with the computer-readable memory and configured by the executable instructions to at least:
 determine a set of one or more network metrics based at least partly on network communications among network resources in a networked environment; 
 determine that a network metric of the set of one or more network metrics is a non-compliant metric based on the network metric falling outside a corresponding compliance range of values; 
 generate a normalized score for the non-compliant metric based at least partly on a degree to which the non-compliant metric deviates from the corresponding compliance range of values; 
 identify the non-compliant metric as a metric of based at least partly on the normalized score for the non-compliant metric; 
 identify a peer group classification for the networked environment based at least partly on the metric of interest, wherein the peer group classification comprises a classification of the networked environment among a set of one or more additional networked environments; and 
 display, through an electronic interface, data regarding the peer group classification. 
   
     
     
         17 . The system of  claim 16 , wherein the one or more processors are configured by further executable instructions to determine a comparison property associated with the metric of interest for the set of one or more additional networked environments. 
     
     
         18 . The system of  claim 16 , wherein the one or more processors are configured by further executable instructions to identify the non-compliant metric as a metric of interest based at least partly on a deficiency. 
     
     
         19 . The system of  claim 18 , wherein the one or more processors are configured by further executable instructions to determine, for each remedial resource of a plurality of remedial resources, a respective relevancy score representing a degree of responsiveness to correct the deficiency. 
     
     
         20 . The system of  claim 19 , wherein the one or more processors are configured by further executable instructions to display, through the electronic interface, data regarding the metric of interest and the plurality of remedial resources. 
     
     
         21 . The system of  claim 19 , wherein the one or more processors are configured by further executable instructions to rank the plurality of remedial resources according to one of a priority or a preference. 
     
     
         22 . The system of  claim 16 , wherein the one or more processors are configured by further executable instructions to receive, via the electronic interface, user input regarding an adjustment to the peer group classification. 
     
     
         23 . The system of  claim 22 , wherein the one or more processors are configured by further executable instructions to determine a second set of one or more additional networked environments associated with the peer group classification based at least partly on the adjustment to the peer group classification. 
     
     
         24 . The system of  claim 16 , wherein the one or more processors are configured by further executable instructions to generate a roster of metrics of interest, wherein the roster of metrics of interest comprises a subset of the set of one or more network metrics, wherein individual metrics of interest of the roster of metrics of interest satisfy a selection criterion, and wherein individual network metrics of the set of one or more network metrics not included in the roster of metrics of interest do not satisfy the selection criterion. 
     
     
         25 . The system of  claim 24 , wherein the one or more processors are configured by further executable instructions to generate a hierarchical representation of the roster of metrics of interest and corresponding remedial resources.

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