Big Data System For Cable Operator Network Performance Monitoring

Nowadays, internet use is deeply rooted in all aspects of human society. From entertainment, gaming, and leisure to digitalized e-government services, education, and national defense, from children to the elderly population, this service is present everywhere for everyone. High demand and high competition among internet providers force continuous improvement of their networks. To analyze network performance and be able to react proactively, operators need to collect performance measurements from their devices. Considering the number of devices, network heterogeneity, data volume, and many other aspects, this can be a very challenging job. This paper presents a system for big data collection and performance monitoring implemented for cable networks. The introduced system solves all the mentioned challenges while being scalable enough to give unlimited capacity and processing power, with a flexible design that can be easily adjusted to support many other use cases. Although this system is presented through a cable network use case, the same can be used in other networks as well.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/telfor63250.2024.10819148
Primary Topic
Customer churn and segmentation
Type
article
Field-Weighted Citation Impact
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article

Big Data System For Cable Operator Network Performance Monitoring

Dejan Drajić, Milan Simakovic, Zoran Čiča
Customer churn and segmentation
article

Big Data System For Cable Operator Network Performance Monitoring

Dejan Drajić, Milan Simakovic, Zoran Čiča
article en

Abstract

Nowadays, internet use is deeply rooted in all aspects of human society. From entertainment, gaming, and leisure to digitalized e-government services, education, and national defense, from children to the elderly population, this service is present everywhere for everyone. High demand and high competition among internet providers force continuous improvement of their networks. To analyze network performance and be able to react proactively, operators need to collect performance measurements from their devices. Considering the number of devices, network heterogeneity, data volume, and many other aspects, this can be a very challenging job. This paper presents a system for big data collection and performance monitoring implemented for cable networks. The introduced system solves all the mentioned challenges while being scalable enough to give unlimited capacity and processing power, with a flexible design that can be easily adjusted to support many other use cases. Although this system is presented through a cable network use case, the same can be used in other networks as well.

University of Belgrade (RS)
Openalex Percentile: Top 64%
Customer churn and segmentation
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