THRESHOLD SELECTION FOR KPI CANDIDACY IN ROOT CAUSE ANALYSIS OF NETWORK ISSUES
In one embodiment, a network assurance service that monitors a network maps time series of values of key performance indicator (KPIs) measured from the network to lists of unique values from the time series. The service sets a target alarm rate for anomaly detection alarms raised by the network assu...
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creator | Thampy, Sajjit Pandey, Santosh Ghanshyan Vasseur, Jean-Philippe |
description | In one embodiment, a network assurance service that monitors a network maps time series of values of key performance indicator (KPIs) measured from the network to lists of unique values from the time series. The service sets a target alarm rate for anomaly detection alarms raised by the network assurance service. The service uses an optimization function to identify a set of thresholds for the KPIs. The optimization function is based on: a comparison between the target alarm rate and a fraction of network issues flagged by the service as outliers, KPI thresholds selected based on the lists of unique values from the time series, and a number of thresholds that the KPIs must cross for the service to raise an alarm. The service raises an anomaly detection alarm for the monitored network based on the identified set of thresholds for the KPIs. |
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The service sets a target alarm rate for anomaly detection alarms raised by the network assurance service. The service uses an optimization function to identify a set of thresholds for the KPIs. The optimization function is based on: a comparison between the target alarm rate and a fraction of network issues flagged by the service as outliers, KPI thresholds selected based on the lists of unique values from the time series, and a number of thresholds that the KPIs must cross for the service to raise an alarm. The service raises an anomaly detection alarm for the monitored network based on the identified set of thresholds for the KPIs.</description><language>eng</language><subject>ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; TRANSMISSION ; TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION ; WIRELESS COMMUNICATIONS NETWORKS</subject><creationdate>2020</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200319&DB=EPODOC&CC=US&NR=2020092159A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20200319&DB=EPODOC&CC=US&NR=2020092159A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Thampy, Sajjit</creatorcontrib><creatorcontrib>Pandey, Santosh Ghanshyan</creatorcontrib><creatorcontrib>Vasseur, Jean-Philippe</creatorcontrib><title>THRESHOLD SELECTION FOR KPI CANDIDACY IN ROOT CAUSE ANALYSIS OF NETWORK ISSUES</title><description>In one embodiment, a network assurance service that monitors a network maps time series of values of key performance indicator (KPIs) measured from the network to lists of unique values from the time series. The service sets a target alarm rate for anomaly detection alarms raised by the network assurance service. The service uses an optimization function to identify a set of thresholds for the KPIs. The optimization function is based on: a comparison between the target alarm rate and a fraction of network issues flagged by the service as outliers, KPI thresholds selected based on the lists of unique values from the time series, and a number of thresholds that the KPIs must cross for the service to raise an alarm. The service raises an anomaly detection alarm for the monitored network based on the identified set of thresholds for the KPIs.</description><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>TRANSMISSION</subject><subject>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</subject><subject>WIRELESS COMMUNICATIONS NETWORKS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2020</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyrEKwjAQgOEsDqK-w4GzkEYcOobkQkNDTnIJpVMpEifRQn1_dPABnH74-Lci5i4hdxQsMAY02VMERwn6qwejo_VWmxF8hESUv1IYQUcdRvYM5CBiHij14JkL8l5s7vNjrYdfd-LoMJvuVJfXVNdlvtVnfU-FlVRStqq5tLo5_3d9AM5bL24</recordid><startdate>20200319</startdate><enddate>20200319</enddate><creator>Thampy, Sajjit</creator><creator>Pandey, Santosh Ghanshyan</creator><creator>Vasseur, Jean-Philippe</creator><scope>EVB</scope></search><sort><creationdate>20200319</creationdate><title>THRESHOLD SELECTION FOR KPI CANDIDACY IN ROOT CAUSE ANALYSIS OF NETWORK ISSUES</title><author>Thampy, Sajjit ; Pandey, Santosh Ghanshyan ; Vasseur, Jean-Philippe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US2020092159A13</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2020</creationdate><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>TRANSMISSION</topic><topic>TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION</topic><topic>WIRELESS COMMUNICATIONS NETWORKS</topic><toplevel>online_resources</toplevel><creatorcontrib>Thampy, Sajjit</creatorcontrib><creatorcontrib>Pandey, Santosh Ghanshyan</creatorcontrib><creatorcontrib>Vasseur, Jean-Philippe</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Thampy, Sajjit</au><au>Pandey, Santosh Ghanshyan</au><au>Vasseur, Jean-Philippe</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>THRESHOLD SELECTION FOR KPI CANDIDACY IN ROOT CAUSE ANALYSIS OF NETWORK ISSUES</title><date>2020-03-19</date><risdate>2020</risdate><abstract>In one embodiment, a network assurance service that monitors a network maps time series of values of key performance indicator (KPIs) measured from the network to lists of unique values from the time series. The service sets a target alarm rate for anomaly detection alarms raised by the network assurance service. The service uses an optimization function to identify a set of thresholds for the KPIs. The optimization function is based on: a comparison between the target alarm rate and a fraction of network issues flagged by the service as outliers, KPI thresholds selected based on the lists of unique values from the time series, and a number of thresholds that the KPIs must cross for the service to raise an alarm. The service raises an anomaly detection alarm for the monitored network based on the identified set of thresholds for the KPIs.</abstract><oa>free_for_read</oa></addata></record> |
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subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY TRANSMISSION TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION WIRELESS COMMUNICATIONS NETWORKS |
title | THRESHOLD SELECTION FOR KPI CANDIDACY IN ROOT CAUSE ANALYSIS OF NETWORK ISSUES |
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