Big-Data Platform for Performance Monitoring of Telecom-Service-Provider Networks
Large telecom-service-provider networks are typically based on complex communications infrastructures comprising millions of network devices. The performance monitoring of such networks is a very demanding and challenging task. A large amount of data is collected and processed during performance mon...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-07-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/11/14/2224 |
| _version_ | 1797439850476994560 |
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| author | Milan Simakovic Zoran Cica Dejan Drajic |
| author_facet | Milan Simakovic Zoran Cica Dejan Drajic |
| author_sort | Milan Simakovic |
| collection | DOAJ |
| description | Large telecom-service-provider networks are typically based on complex communications infrastructures comprising millions of network devices. The performance monitoring of such networks is a very demanding and challenging task. A large amount of data is collected and processed during performance monitoring to obtain information that gives insights into the current network performance. Using the obtained information, providers can efficiently detect, locate, and troubleshoot weak spots in the network and improve the overall network performance. Furthermore, the extracted information can be used for planning future network expansions and to support the determination of business-strategy decisions. However, traditional methods for processing and storing data are not applicable because of the enormous amount of collected data. Thus, big-data technologies must be used. In this paper, a big-data platform for the performance monitoring of telecom-service-provider networks is proposed. The proposed platform is capable of collecting, storing, and processing data from millions of devices. Typical challenges and problems in the development and deployment process of the platform, as well as the solutions to overcome them, are presented. The proposed platform is adjusted to HFC (Hybrid Fiber-Coaxial) network and currently operates in the real HFC network, comprising millions of users and devices. |
| first_indexed | 2024-03-09T11:58:37Z |
| format | Article |
| id | doaj.art-87e893c0ad4c46d69d7c2839bd11c563 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T11:58:37Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-87e893c0ad4c46d69d7c2839bd11c5632023-11-30T23:06:13ZengMDPI AGElectronics2079-92922022-07-011114222410.3390/electronics11142224Big-Data Platform for Performance Monitoring of Telecom-Service-Provider NetworksMilan Simakovic0Zoran Cica1Dejan Drajic2School of Electrical Engineering, University of Belgrade, 11120 Belgrade, SerbiaSchool of Electrical Engineering, University of Belgrade, 11120 Belgrade, SerbiaSchool of Electrical Engineering, University of Belgrade, 11120 Belgrade, SerbiaLarge telecom-service-provider networks are typically based on complex communications infrastructures comprising millions of network devices. The performance monitoring of such networks is a very demanding and challenging task. A large amount of data is collected and processed during performance monitoring to obtain information that gives insights into the current network performance. Using the obtained information, providers can efficiently detect, locate, and troubleshoot weak spots in the network and improve the overall network performance. Furthermore, the extracted information can be used for planning future network expansions and to support the determination of business-strategy decisions. However, traditional methods for processing and storing data are not applicable because of the enormous amount of collected data. Thus, big-data technologies must be used. In this paper, a big-data platform for the performance monitoring of telecom-service-provider networks is proposed. The proposed platform is capable of collecting, storing, and processing data from millions of devices. Typical challenges and problems in the development and deployment process of the platform, as well as the solutions to overcome them, are presented. The proposed platform is adjusted to HFC (Hybrid Fiber-Coaxial) network and currently operates in the real HFC network, comprising millions of users and devices.https://www.mdpi.com/2079-9292/11/14/2224big datadata engineeringperformance monitoringservice provider networks |
| spellingShingle | Milan Simakovic Zoran Cica Dejan Drajic Big-Data Platform for Performance Monitoring of Telecom-Service-Provider Networks Electronics big data data engineering performance monitoring service provider networks |
| title | Big-Data Platform for Performance Monitoring of Telecom-Service-Provider Networks |
| title_full | Big-Data Platform for Performance Monitoring of Telecom-Service-Provider Networks |
| title_fullStr | Big-Data Platform for Performance Monitoring of Telecom-Service-Provider Networks |
| title_full_unstemmed | Big-Data Platform for Performance Monitoring of Telecom-Service-Provider Networks |
| title_short | Big-Data Platform for Performance Monitoring of Telecom-Service-Provider Networks |
| title_sort | big data platform for performance monitoring of telecom service provider networks |
| topic | big data data engineering performance monitoring service provider networks |
| url | https://www.mdpi.com/2079-9292/11/14/2224 |
| work_keys_str_mv | AT milansimakovic bigdataplatformforperformancemonitoringoftelecomserviceprovidernetworks AT zorancica bigdataplatformforperformancemonitoringoftelecomserviceprovidernetworks AT dejandrajic bigdataplatformforperformancemonitoringoftelecomserviceprovidernetworks |