Flexible Random Early Detection Algorithm for Queue Management in Routers
| Autor: | Vsevolod Shorgin, Yuliya Gaidamaka, Aminu Adamu, Sergey Yu. Melnikov |
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| Rok vydání: | 2020 |
| Předmět: |
Scheme (programming language)
Queue management system Computer science business.industry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Random early detection Active queue management Telecommunications network Network congestion State (computer science) business computer Queue computer.programming_language Computer network |
| Zdroj: | Distributed Computer and Communication Networks ISBN: 9783030664701 DCCN |
| DOI: | 10.1007/978-3-030-66471-8_16 |
| Popis: | With recent advancements in communication networks, congestion control remains a research focus. Active Queue Management (AQM) schemes are normally used to manage congestion in routers. Random Early Detection (RED) is the most popular AQM scheme. However, RED lacks self-adaptation mechanism and it is sensitive to parameter settings. Many enhancements of RED were proposed and are yet to provide stable performance under different traffic load situations. In this paper, AQM scheme called Flexible Random Early Detection (FXRED) is proposed. Unlike other RED’s enhancements with static drop patterns, FXRED recognizes the state of the current network’s traffic load and auto tune its drop pattern suitable to the observed load situation in order to maintain stable and better performance. Results of the experiments conducted have shown that regardless of traffic load’s fluctuation, FXRED provides optimal performance and efficiently manages the queue. |
| Databáze: | OpenAIRE |
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