公开(公告)号：US10965558B2

公开(公告)日：2021-03-30

申请号：US16439348

申请日：2019-06-12

Applicant: Wipro Limited

Inventor： Dhebeha Jayakumar ,  Vignesh Karunakaran ,  Swaminathan Seetharaman

IPC: H04L12/26

Abstract: This disclosure relates to methods and systems for effective data collection, aggregation, and analysis in a distributed heterogeneous communication network for effective fault detection or performance anomaly detection. In one embodiment, the method may include determining impact characteristics with respect to a network slice or a service in the distributed heterogeneous communication network. The method may further include determining one or more collection nodes, one or more aggregation nodes, and one or more analysis nodes within the distributed heterogeneous communication network based on the impact characteristics. The method may further include activating the one or more collection nodes for collecting data, the one or more aggregation nodes for aggregating the collected data, and the one or more analysis nodes for analyzing the aggregated data. The impact characteristics may include at least one of: user characteristics, service characteristics, slice characteristics, network characteristics, or performance characteristics.

公开(公告)号：US20200313985A1

公开(公告)日：2020-10-01

申请号：US16439348

申请日：2019-06-12

Applicant: Wipro Limited

Inventor： Dhebeha Jayakumar ,  Vignesh Karunakaran ,  Swaminathan Seetharaman

IPC: H04L12/26

Abstract: This disclosure relates to methods and systems for effective data collection, aggregation, and analysis in a distributed heterogeneous communication network for effective fault detection or performance anomaly detection. In one embodiment, the method may include determining impact characteristics with respect to a network slice or a service in the distributed heterogeneous communication network. The method may further include determining one or more collection nodes, one or more aggregation nodes, and one or more analysis nodes within the distributed heterogeneous communication network based on the impact characteristics. The method may further include activating the one or more collection nodes for collecting data, the one or more aggregation nodes for aggregating the collected data, and the one or more analysis nodes for analyzing the aggregated data. The impact characteristics may include at least one of: user characteristics, service characteristics, slice characteristics, network characteristics, or performance characteristics.