DRAFT
On the Anomaly Impact Details page, users gain insight into why & how AGILITY triggered each anomaly notification by delineating the anomaly’s unique information
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. In addition, the Anomaly Impact Details page allows you to drill down further into an anomaly's
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cause(s) & impact(s) to expedite network resolution processes and gather knowledge to prevent similar anomalies from reoccurring.
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The Anomlay Impact Details page is accessible through each domain dashboard. To get to the Anomlay Impact Details page:
To navigate to the Anomaly Impact Details to view the specifics of a particular anomaly:
Click the AGILITY icon.
You
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'll be redirected to the AGLILITY home page.
Click the square icon.
The Domain Insights menu will expand.
Select
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Radio Access Network
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.
You'll be redirected to the Radio Access Network (RAN) Domain Insights Dashboard. ( To access domain insights for a different domain, click on the desired Domain name from the Continuous Assurance menu.
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Then, you'll be redirected to the applicable Domain Insights Dashboard.
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Default Filters: When the Dashboard is accessed through the menu, it automatically reflects the past 3 hours and 15 minutes of activity on the selected Network. |
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. Toggle Auto Refresh toggle off to refine the dashboard results using filters.
6. To use filters, select Show Filters.
7. The filter menu will expand.
8. Use the filters to refine the search results to reflect the timeframe you want to investigate.
9, Select Apply.
Your query will be reflected on the dashboard.
The View Details panel will expand.
6. Select the “i” information icon to expand the row for the anomaly
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you're investigating.
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You'll be redirected to the Anomaly Impact Details page.
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Under the Anomlay Information header
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at the top of the page,
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you'll find a synopsis of the
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anomaly's origin and impact.
The Anomaly Information includes:
The Start Date & Time
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column provides the start date and time
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the anomaly began.
The Cell
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column provides the cell site identifier.
The Site
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columnprovides the site ID
The Network Layer
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column provides the domain name.
The Duration
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column lists the amount of time that lapsed before anomaly recovery or the duration of time that the anomaly lasted.
The Class
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column provides the anomaly classification
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.
The RCA
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column provides the Root Cause Analysis for the anomaly.
The Detected
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On column provides the time at which AGILITY detected the anomaly. This detail demonstrates the latency for the amount of time it takes AGILITY to detect that there was an issue. Note that there can be a delay in
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receiving customer data, contributing to the latency.
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The Impacted Key Quality Indicator Scores (KQIS) chart provides service impact details that help users identify the severity of the anomaly.
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Impacted QoE:
Value:
Service:
Current Impact:
See Trends:
Service data is at the top based on individual user KQIs key quality index reflected by user experience
- toggle button filter data volte
example to use: https://oci-ad-dev.b-yond.com/ran/anomaly/9892917b-580a-e555-c78b-427f1a1bf4b3?restoreFilters=3053639b-3afd-4ed8-a37d-edb44bb954db
KQI name how we ingest the data
QoE = quality of experience : user experience faced on that cell
Value: the output of the KQI. its the aggregated data of individual data of subscribers on those cells. Each user . Value is a measure of the impact of the anomaly.
Sevrice : the service name
Current impact: the model computes the impact and tells you if it is low medium high or not available . No means it is not impacted there are three no, medium, high N/A means the data is not available
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The KQI Name column provides the name of the KQI extracted directly from the network data ingested by AGILITY.
The Impacted QoE (Quality of Experience) column provides a rating for the quality of experience that the user encountered on the indicated cell.
The Value column is a measurement that uses aggregated user data to quantify the impact that subscribers faced from the anomaly.
The Service column lists the service type.
The Current Impact column is a measurement that uses aggregated user data to qualify the impact that subscribers faced from the anomaly. The impact levels include Low, Medium, High, No & N/A. "No" means that there was no impact. "N/A" means that there is no data available.
The See Trends column allows users to visualize the service impact on a graph plotting the impacted KQI for the selected anomaly amongst normal network behavior to highlight deviations and their severity.
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The Service KQIS Trends graph plots the impacted KQI for the selected anomaly amongst normal network behavior to highlight deviations and demonstrate their severity.
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To view the impacted KQI service Trends graph:
On the Anomaly Details page, go to the Imapcted KQIS chart.
Select the graph line icon from the
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See Trends column.
The Service KQIS
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Trend graph for the selected KQI will load.
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See Trends:
cLICK ON THE sEE tRENDS icon to see the Service KQIS Trend Chaart
Auxillary data togle adds secondary data the secondary axix added on the right hand side adds data that lets you visualize the cause
Performance Management:
key performance indicators are network level performance level - second two tables PM KPIS
names are standard they all know what those names mean
kpi value mathematical value the result of the anomaly on performance
Imapct Level means the severity of the anomaly and the percentage deviation level how much it deviates from the normal network
Importance : the inidcagti=or that was decided to trigger the anomaly numbers greater than zero indicate that this KPI was degraded and therefor triggered an anomaly . You will see dgredation in the chart if it is higher than 0
RAN Metrics Trend
FM Alarms
if we have an alarm on site it will trigger an anomaly based on the alarms right now we don't have an alarm . In some cases we do have an alarm. Example of cases with an alarm: https://oci-ad-dev.b-yond.com/ran/anomaly/c3818f35-a987-d578-aa66-58f7bcb3569c?restoreFilters=4bdbf827-75e0-4620-99d1-4b55ce3ebcba
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Alarm type: sometimes it is not a KPI issue . Either an issue is a PM KPI or an FM Alarm Fault. Management PM performance Management
Anomaly Correlations
Anomlay Correlation : Anomaly correlation between anomalies that are all connected together. Ex there are several towers in a stadium, Tower a had an issue tower b & c had an issue and they were triggered separately, The correlator will bring these issues into one place to advise that here is a common issue happening on an area on a group of towers whether its on the same domain or a different domain ex. a router far away fro m the stadium has an issue and at the same time there was a problem on those sites. if we ave an anomaly in PS core and we notice that it is affecting towers , we connect them
We will get an example from Toufic:
View details will take you to the NOMALYT DETAILS FOR THAT SPECIFIC ANOMALY IT is a link for that particular anomaly
its telling you the anomaly at these two sites is correlated
Impacted Subscriber Group Overview
IMPACTED SUBSCRIBER GROUPS OVERVIEW: change to impacted customer insight
How many users were actually being impacted by that anomaly
SUBSCRIBER GROUPS IMPACTEDCharts help identify who the affected users are general , normal , VIP, corporate government
IMPACTED QoE Qulity of Experience how were the users affected , what happened to them ?
IMPACTED QoEWhat was affected what kind of application was impacted what kind of application they were using social media audio
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The KQI is plotted on the y-axis.
The time is plotted on the x-axis.
The legend provides the context for the colors used on the graph.
Normal network behavior (no anomalies) is plotted in green, the selected anomaly in red, and historical anomalies in yellow.
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The PM KPIS chart provides network-level key performance indicators to help users identify the severity of the anomaly.
The KPI Name column lists industry-standard network performance KPIs.
The KPI Value column quantifies the mathematical value of the anomaly's impact on network performance.
The Impact Level column qualifies the impact that the anomaly had on performance. The impact levels include Low, Medium, High, No & N/A. "No" means that there was no impact. "N/A" means that there is no data available.
The Importance Level column lists the numerical value determining whether an anomaly is triggered. If the value is greater than zero, network degradation has occurred and will be reflected in the RAN Metrics Trend chart.
The See Trends column allows users to visualize the service impact on a graph that plots the impacted PM KPI for the selected anomaly amongst normal network behavior to highlight deviations and demonstrate their severity.
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The RAN Metrics Trends graph plots the impacted PM KPI for the selected anomaly amongst normal network behavior to highlight deviations and demonstrate their severity.
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To view the impacted RAN Metrics Trends graph:
On the Anomaly Details page, go to the PM KPIs chart.
2. Select the graph line icon from the See Trends column.
The Service KQIS Trend graph for the selected KQI will load.
The PM KPI is plotted on the y-axis.
The time is plotted on the x-axis.
The legend provides the context for the colors used on the graph.
Normal network behavior (no anomalies) is plotted in green, the selected anomaly is plotted in red, and historical anomalies are plotted in yellow.
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The Auxiliary axis provides additional contextual data that helps determine the root cause of the anomaly.
To display Auxiliary Data on the RAN Metrics Trend graph:
Toggle Show Auxiliary Data to the right.
The auxiliary data will load.
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FM Alarms are triggered for non-PM (Performance Management) KPI issues.
The Alarm ID column
The Description column
The Severity Level column
The Alarm Type column
The Importance column
The Occurrence Time column
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The Anomaly Correlations chart displays correlations between anomalies that have common causes. The correlations are made across domains as well within the same domain. Correlations help group together issues with similar sources to expedite resolution timeframes. The anomaly chart below visualizes the fact that the anomalies at these two sites are correlated.
The View Details column provides users access to the Anomaly Details page for the selected anomaly.
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The visualizations and graphs in the Impacted Subscriber Groups Overview section of the Anonaly Details page depict the customer impacts of the anomaly.
The Total Number of Subscribers Impacted (VoLTE) pannel displays how the anomaly was actually impacting many VoLTE users.
The Total Number of Subscribers Impacted (Data) pannel displays how many data users were actually being impacted by the anomaly.
The Subscriber Groups Impacted pie chart displays the affected user groups (such as General, VIP, Corporate, Government, etc.)
The Impacted QoE (Quality of Experience) pie chart displays how the user was impacted.
The Applications pie chart displays the application(s) that the user was using when the anomaly occurred.
The information panel at the bottom of the page provides additional subscriber details, including:
The applicable Cell ID.
The applicable Cell Name.
The device's IMSI.
The subscriber's MSISDN.
The subscriber's customer Group.
The subscriber's Service Plan type.
The subscriber's service Plan ID.
Additional VoLTE &/or Data KQI Details quantifying the service degradation experienced by the subscriber.
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Go to the Impacted Subscriber Groups Overview section of the Anomaly Details page.
Select the VoLTE or Data icon.
The KQI degradation details for the subscriber will be displayed.
