Method and system for remote quality of experience diagnostics based on a traffic signature determined from analyzing subscriber data and traffic flow performance statistics
A method and system for remote diagnostic of Quality of Experience (QoE) for a subscriber on a computer network. The method includes: reviewing a plurality of traffic flows associated with a subscriber to determine performance statistics correlated with each of the traffic flows; determining subscriber data related to the subscriber associated with the plurality of traffic flows; analyzing the subscriber data and performance statistics to determine a traffic signature associated with the plurality of traffic flows; retrieving a plurality of known traffic signatures associate with QoE issues; determining whether the traffic signature matches any of the plurality of known traffic signatures; and diagnosing the QoE issue based on the match of the traffic signatures.
1. A method for remote diagnostic of Quality of Experience (QoE) for a subscriber on a computer network, the method comprising:
reviewing a plurality of traffic flows associated with a subscriber to determine performance statistics correlated with each of the traffic flows;
determining subscriber data related to the subscriber associated with the plurality of traffic flows;
analyzing the subscriber data and performance statistics to determine a traffic signature associated with the plurality of traffic flows;
retrieving a plurality of known traffic signatures associate with QoE issues;
determining whether the traffic signature matches any of the plurality of known traffic signatures; and
diagnosing the QoE issue based on the match of the traffic signatures.
2. A method according to claim 1 wherein the performance statistics comprise: round trip time, packet loss and throughput.
3. A method according to claim 1 further comprising: performing traffic management actions based on the diagnosed QoE issue.
4. A method according to claim 3 wherein the traffic management action comprise: sending the subscriber and upgraded customer premises equipment, upselling the subscriber with WiFi extenders, dynamically rebonding the upstream or downstream channel assignments.
5. A method accord to claim 1 wherein the QoE issue is selected from the group comprising: a poor WiFi access point placement, WiFi downlink congestion, WiFi uplink congestion, downlink access congestion, uplink access congestion, and cable degradation.
6. A method according to claim 1 further comprising:
flagging the subscriber experiencing the diagnosed QoE issue; and
reporting the flagged subscriber to a service provider.
7. A method according to claim 1 wherein the analyzing of the performance statics comprises:
determining a plurality of performance statistics for each of the plurality of traffic flows associated with a subscriber;
determining a service group related to the subscriber;
determining an average for each of the plurality of performance statistics for the service group;
determining whether the each of the plurality of performance statistics for each of the plurality of traffic flows associated with a subscriber is above the average of each of the plurality of performance statistics for the service group for a predetermined threshold percentage of time; and
if the average of any of the plurality of performance statistics for each of the plurality of traffic flows associated with a subscriber is above the predetermined threshold, determining the subscriber has a QoE issue;
otherwise determining that the subscriber is not suffering from pa QoE issue.
8. A method according to claim 1 wherein the analyzing of the performance statics comprises:
determining a plurality of performance statistics for each of the plurality of traffic flows associated with a subscriber;
determining a bonding group related to the subscriber;
determining an average for each of the plurality of performance statistics for the bonding group;
determining whether the each of the plurality of performance statistics for each of the plurality of traffic flows associated with a subscriber is above the average of each of the plurality of performance statistics for the bonding group for a predetermined threshold percentage of time; and
if the average of any of the plurality of performance statistics for each of the plurality of traffic flows associated with a subscriber is above the predetermined threshold, determining the subscriber has a QoE issue;
otherwise determining that the subscriber is not suffering from a QoE issue.
9. A method according to claim 1 further comprising:
storing the diagnosed QoE issue associated with a subscriber.
10. A method according to claim 9 further comprising:
retrieving previously stored QoE issues associated with a subscriber; and
aggregating the diagnosed QoE issue with the previously stored QoE issues to determine a severity of the QoE issue.
11. A system for remote diagnostic of Quality of Experience (QoE) for a subscriber on a computer network, the system comprising:
a quality measurement module configured to review a plurality of traffic flows associated with a subscriber to determine performance statistics correlated with each of the traffic flows;
a subscriber behavior module configured to determine subscriber data related to the subscriber associated with the plurality of traffic flows;
a memory component configured to store known traffic signatures associated with QoE issues;
an analysis module configured to analyze the subscriber data and performance statistics to determine a traffic signature associated with the plurality of traffic flows; and
a diagnostic module configured to
retrieve a plurality of known traffic signatures associate with QoE issues;
determine whether the traffic signature matches any of the plurality of known traffic signatures; and
diagnose the QoE issue based on the match of the traffic signatures.
12. A system according to claim 11 wherein the performance statistics comprise: round trip time, packet loss and throughput.
13. A system according to claim 11 further the diagnostic module is further configured to perform traffic management actions based on the diagnosed QoE issue.
14. A system according to claim 13 , wherein the traffic management action comprise: sending the subscriber and upgraded customer premises equipment, upselling the subscriber with WiFi extenders, dynamically rebonding the upstream or downstream channel assignments.
15. A system accord to claim 11 wherein the QoE issue is selected from the group comprising: a poor WiFi access point placement, WiFi downlink congestion, WiFi uplink congestion, downlink access congestion, uplink access congestion, and cable degradation.
16. A system according to claim 11 wherein the diagnostic module is further configured to:
flag the subscriber experiencing the diagnosed QoE issue; and
report the flagged subscriber to a service provider.
17. A system according to claim 11 wherein the analysis module, when analyzing of the performance statics, is configured to:
determine a plurality of performance statistics for each of the plurality of traffic flows associated with a subscriber;
determine a service group related to the subscriber;
determine an average for each of the plurality of performance statistics for the service group;
determine whether the each of the plurality of performance statistics for each of the plurality of traffic flows associated with a subscriber is above the average of each of the plurality of performance statistics for the service group for a predetermined threshold percentage of time; and
if the average of any of the plurality of performance statistics for each of the plurality of traffic flows associated with a subscriber is above the predetermined threshold, determine the subscriber has a QoE issue;
otherwise determine that the subscriber is not suffering from a QoE issue.
18. A system according to claim 11 wherein the analysis module, when analyzing of the performance statics, is configured to:
determine a plurality of performance statistics for each of the plurality of traffic flows associated with a subscriber;
determine a bonding group related to the subscriber;
determine an average for each of the plurality of performance statistics for the bonding group;
determine whether the each of the plurality of performance statistics for each of the plurality of traffic flows associated with a subscriber is above the average of each of the plurality of performance statistics for the bonding group for a predetermined threshold percentage of time; and
if the average of any of the plurality of performance statistics for each of the plurality of traffic flows associated with a subscriber is above the predetermined threshold, determine the subscriber has a QoE issue;
otherwise determine that the subscriber is not suffering from a QoE issue.
19. A system according to claim 11 wherein the memory component is further configured to store the diagnosed QoE issue associated with a subscriber.
20. A system according to claim 19 wherein: the diagnostic module is configured to retrieve previously stored QoE issues associated with a subscriber and aggregate the diagnosed QoE issue with the previously stored QoE issues to determine a severity of the QoE issue.