System and method of hierarchical computation of KPIs

Patent metadata

Field	Value
Publication number	US-11889332-B2
Application number	US-202117390195-A
Country	US
Kind code	B2
Filing date	Jul 30, 2021
Priority date	Jul 30, 2020
Publication date	Jan 30, 2024
Grant date	Jan 30, 2024

Abstract

A system and method for hierarchical computation of KPI(s). The method encompasses receiving for at least one time slice, counter(s) associated with each node from one or more nodes. The method further encompasses defining at each time slice, metrics for said each node based on associated counter(s). The method thereafter comprises computing a locally aggregated value and a time aggregated value of the metrics. The method further encompasses mapping, the time aggregated value of each metric to a control center hierarchy (CCH). Further the method calculates a hierarchically aggregated value for each metric present in a target list of metrics associated with KPI expression(s) corresponding to said CCH, based on an aggregation of all time aggregated values of said each metric. The method thereafter encompasses computing, by a KPI scheduler unit, the KPI(s) for said CCH based at least on said hierarchically aggregated value and said KPI expression(s).

First claim

We claim:

1. A method for hierarchical computation of one or more Key Performance Indicators (KPIs) for a target time interval comprising of at least one time slice, the method comprising:
receiving, at a transceiver unit from one or more nodes present in one or more control center hierarchies of a telecom network, a dataset corresponding to the at least one time slice, wherein the dataset received from each node from the one or more nodes comprises one or more counters associated with said each node;
defining, by a processing unit at each time slice from the at least one time slice, one or more metrics for said each node based on one or more counters associated with said each node at said each time slice; computing, by a local scheduler unit for said each time slice, a locally aggregated value of the one or more metrics defined for said each node;
computing, by a metric scheduler unit for the target time interval, a time aggregated value of the one or more metrics defined for said each node based on an aggregation of a locally aggregated value of the one or more metrics defined for said each node across all time slices present in the target time interval;
mapping, by the processing unit, the time aggregated value of each metric from the one or more metrics defined for said each node to a control center hierarchy corresponding to said each node;
calculating, by the processing unit, a hierarchically aggregated value, at least for each metric present in a target list of metrics associated with at least one KPI expression defined forone or more KPIs correspondingto said control center hierarchy, based on an aggregation of all time aggregated values of said each metric present in the target list of metrics in the target time interval across all nodes present in said control center hierarchy corresponding to said each node; and
computing, by a KPI scheduler unit, the one or more KPIs for said control center hierarchy corresponding to said each node based at least on the hierarchically aggregated value for said each metric present in the target list of metrics and the at least one KPI expression defined for the one or more Key Performance Indicators (KPIs) corresponding to said control center hierarchy.

2. The method as claimed in claim 1 , wherein each metric from the one or more metrics defined for said each node is mapped to the one or more counters received from said each node.

3. The method as claimed in claim 1 , wherein each metric from the one or more metrics is associated with a corresponding local aggregation expression and a corresponding time aggregation expression.

4. The method as claimed in claim 3 , wherein the locally aggregated value of the one or more metrics defined for said each node is computed based on an aggregation of the one or more mapped counters of said each metric from the one or more metrics in accordance with the corresponding local aggregation expression.

5. The method as claimed in claim 3 , wherein the time aggregated value of the one or more metrics defined for said each node is further based on the corresponding time aggregation expression.

6. The method as claimed in 1 , the method comprises:
defining, by the processing unit for the target time interval, at least one KPI expression for one or more Key Performance Indicators (KPIs) correspondingto the one or more control center hierarchies, wherein each KPI expression associated with the one or more control center hierarchies comprises at least, one or more metrics associated with said one or more control center hierarchies, and

determining, by the processing unit, a list of metrics and a hierarchical aggregation expression correspondingto each metric present in the list of metrics based on said at least one KPI expression defined forthe one or more Key Performance Indicators (KPIs) correspondingto the one or more control center hierarchies.

7. The method as claimed in 1 , the method comprises calculating, by the processing unit, a hierarchically aggregated value forthe control center hierarchy correspondingto said each node based on the aggregation of all time aggregated values of each metric present in the target list of metrics in the target time interval across all nodes present in said control center hierarchy.

8. The method as claimed in 1 , wherein the aggregation of all time aggregated values of said each metric present in the target list of metrics in the target time interval across all nodes present in said control center hierarchy is in accordance with a hierarchical aggregation expression corresponding to said each metric present in the target list of metrics associated with the at least one KPI expression defined for the one or more KPIs corresponding to said control center hierarchy.

9. A system for hierarchical computation of one or more Key Performance Indicators (KPIs) for a target time interval comprising of at least one time slice, the system comprising:
a transceiver unit, configured to receive from one or more nodes present in one or more control center hierarchies of a telecom network, a dataset corresponding to the at least one time slice, wherein the dataset received from each node from the one or more nodes comprises one or more counters associated with said each node;
a processing unit, configured to define at each time slice from the at least one time slice, one or more metrics for said each node based on one or more counters associated with said each node at said each time slice;
a local scheduler unit, configured to compute for said each time slice, a locally aggregated value of the one or more metrics defined for said each node;
a metric scheduler unit, configured to compute for the target time interval, a time aggregated value of the one or more metrics defined for said each node based on an aggregation of a locally aggregated value of the one or more metrics defined for said each node across all time slices present in the target tinne interval, wherein the processing unit is further configured to:
map, the time aggregated value of each metric from the one or more metrics defined for said each node to a control center hierarchy corresponding to said each node, and calculate, a hierarchically aggregated value, at least for each metric present in a target list of metrics associated with at least one KPI expression defined for one or more KPIs corresponding to said control center hierarchy, based on an aggregation of all time aggregated values of said each metric present in the target list of metrics in the target time interval across all nodes present in said control center hierarchy corresponding to said each node; and

a KPI scheduler unit, configured to compute, the one or more KPIs for said control center hierarchy corresponding to said each node based at least on the hierarchically aggregated value for said each metric present in the target list of metrics and the at least one KPI expression defined for the one or more Key Performance Indicators (KPIs) corresponding to said control center hierarchy.

10. The system as claimed in claim 9 , wherein each metric from the one or more metrics defined for said each node is mapped to the one or more counters received from said each node.

11. The system as claimed in claim 9 , wherein each metric from the one or more metrics is associated with a corresponding local aggregation expression and a corresponding time aggregation expression.

12. The system as claimed in claim 11 , wherein the locally aggregated value of the one or more metrics defined for said each node is computed based on an aggregation of the one or more mapped counters of said each metric from the one or more metrics in accordance with the corresponding

Assignees

• Reliance Jio Infocomm Ltd
• Jio Platforms Ltd

Inventors

• Gupta Ajay Kumar
• Rajeshwari Venkatraman
• Bhatnagar Aayush
• Sonalkar Nitesh

Classifications

• H04W24/08 Primary

  Testing, {supervising or monitoring} using real traffic · CPC title

• H04L43/04 Primary

  Processing captured monitoring data, e.g. for logfile generation · CPC title

• H04L41/5009 Primary

  Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF] · CPC title

• H04W24/04

  Arrangements for maintaining operational condition · CPC title

• G06F11/3006

  where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems (multiprogramming arrangements G06F9/46; allocation of resources G06F9/50) · CPC title