Academic Journal
METHOD FOR LEADER NODE SELECTION AND PROCESSING PIPELINE FORMATION IN DISTRIBUTED TELECOMMUNICATION SYSTEMS.
| Τίτλος: | METHOD FOR LEADER NODE SELECTION AND PROCESSING PIPELINE FORMATION IN DISTRIBUTED TELECOMMUNICATION SYSTEMS. |
|---|---|
| Alternate Title: | МЕТОД ВИБОРУ ГОЛОВНОГО ВУЗЛА ТА ФОРМУВАННЯ КОНВЕЄРІВ ОБРОБКИ У РОЗПОДІЛЕНИХ ТЕЛЕКОМУНІКАЦІЙНИХ СИСТЕМАХ. (Ukrainian) |
| Συγγραφείς: | Syvolovskyi, I., Lysechko, V. |
| Πηγή: | Science-Based Technologies; 2025, Vol. 66 Issue 2, p190-200, 11p |
| Θεματικοί όροι: | Telecommunication systems, Fault tolerance (Engineering), Electronic data processing, Automatic control systems, Traffic engineering |
| Περίληψη: | The paper proposes a method for selecting the master node (coordinator) in distributed telecommunication systems (DTS) with a clustered architecture and pipeline-based data processing. The method is aimed at ensuring stable data flow management within a cluster under conditions of dynamically changing workloads, network instability, and limited computational resources. Unlike classical leader election procedures that rely on global synchronization or broadcastbased voting algorithms, the proposed approach implements deterministic coordinator selection based on local node ranking, taking into account latency metrics, computational capacity, and unique identifiers. As part of the proposed method, the Gossip-based leader election algorithm has been enhanced by integrating mechanisms for periodic metric exchange, local candidate ranking, pre-assignment of backup nodes, and automatic control transfer in case of coordinator failure. The algorithm maintains the current state of nodes as local lists and uses heartbeat-type control messages to confirm the coordinator’s activity. To prevent redundant message propagation, mechanisms such as Time-To-Live (TTL) and iteration markers have been introduced, which eliminate the circulation of outdated data. Experimental modeling shows that the improved algorithm achieves full data convergence in a 50-node cluster within 4–6 seconds, demonstrates high resilience to message loss (≤1 %), and ensures minimal delay during automatic coordinator reassignment. Compared to the fast Bully algorithm, the proposed approach reduces total control recovery traffic by up to 18% and significantly improves cluster stability under frequent topology changes. Thus, the proposed method enables effective management of clustered DTS with pipeline processing without initiating explicit election procedures, making it suitable for deployment in scalable and high-load telecommunication environments. [ABSTRACT FROM AUTHOR] |
| Copyright of Science-Based Technologies is the property of National Aviation University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Βάση Δεδομένων: | Complementary Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edb DbLabel: Complementary Index An: 188163433 RelevancyScore: 994 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 993.545776367188 |
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| Items | – Name: Title Label: Title Group: Ti Data: METHOD FOR LEADER NODE SELECTION AND PROCESSING PIPELINE FORMATION IN DISTRIBUTED TELECOMMUNICATION SYSTEMS. – Name: TitleAlt Label: Alternate Title Group: TiAlt Data: МЕТОД ВИБОРУ ГОЛОВНОГО ВУЗЛА ТА ФОРМУВАННЯ КОНВЕЄРІВ ОБРОБКИ У РОЗПОДІЛЕНИХ ТЕЛЕКОМУНІКАЦІЙНИХ СИСТЕМАХ. (Ukrainian) – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Syvolovskyi%2C+I%2E%22">Syvolovskyi, I.</searchLink><br /><searchLink fieldCode="AR" term="%22Lysechko%2C+V%2E%22">Lysechko, V.</searchLink> – Name: TitleSource Label: Source Group: Src Data: Science-Based Technologies; 2025, Vol. 66 Issue 2, p190-200, 11p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Telecommunication+systems%22">Telecommunication systems</searchLink><br /><searchLink fieldCode="DE" term="%22Fault+tolerance+%28Engineering%29%22">Fault tolerance (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+control+systems%22">Automatic control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Traffic+engineering%22">Traffic engineering</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The paper proposes a method for selecting the master node (coordinator) in distributed telecommunication systems (DTS) with a clustered architecture and pipeline-based data processing. The method is aimed at ensuring stable data flow management within a cluster under conditions of dynamically changing workloads, network instability, and limited computational resources. Unlike classical leader election procedures that rely on global synchronization or broadcastbased voting algorithms, the proposed approach implements deterministic coordinator selection based on local node ranking, taking into account latency metrics, computational capacity, and unique identifiers. As part of the proposed method, the Gossip-based leader election algorithm has been enhanced by integrating mechanisms for periodic metric exchange, local candidate ranking, pre-assignment of backup nodes, and automatic control transfer in case of coordinator failure. The algorithm maintains the current state of nodes as local lists and uses heartbeat-type control messages to confirm the coordinator’s activity. To prevent redundant message propagation, mechanisms such as Time-To-Live (TTL) and iteration markers have been introduced, which eliminate the circulation of outdated data. Experimental modeling shows that the improved algorithm achieves full data convergence in a 50-node cluster within 4–6 seconds, demonstrates high resilience to message loss (≤1 %), and ensures minimal delay during automatic coordinator reassignment. Compared to the fast Bully algorithm, the proposed approach reduces total control recovery traffic by up to 18% and significantly improves cluster stability under frequent topology changes. Thus, the proposed method enables effective management of clustered DTS with pipeline processing without initiating explicit election procedures, making it suitable for deployment in scalable and high-load telecommunication environments. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Science-Based Technologies is the property of National Aviation University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edb&AN=188163433 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.18372/2310-5461.66.20311 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 190 Subjects: – SubjectFull: Telecommunication systems Type: general – SubjectFull: Fault tolerance (Engineering) Type: general – SubjectFull: Electronic data processing Type: general – SubjectFull: Automatic control systems Type: general – SubjectFull: Traffic engineering Type: general Titles: – TitleFull: METHOD FOR LEADER NODE SELECTION AND PROCESSING PIPELINE FORMATION IN DISTRIBUTED TELECOMMUNICATION SYSTEMS. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Syvolovskyi, I. – PersonEntity: Name: NameFull: Lysechko, V. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 20750781 Numbering: – Type: volume Value: 66 – Type: issue Value: 2 Titles: – TitleFull: Science-Based Technologies Type: main |
| ResultId | 1 |