Using fuzzy rules for network behavior identification: application for differentiated services in an Ethernet network
The Quality of Service (QoS) offered by a network is based on criteria such as delay, jitter and message loss. QoS management is crucial to ensure that the network respects the communication constraints defined by the application requirements. The network must dynamically manage QoS according to the...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Springer
2018-01-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://www.atlantis-press.com/article/25886925/view |
| _version_ | 1818040155915681792 |
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| author | Vincent Bombardier Jean-Philippe Georges Éric Rondeau Idriss Diouri |
| author_facet | Vincent Bombardier Jean-Philippe Georges Éric Rondeau Idriss Diouri |
| author_sort | Vincent Bombardier |
| collection | DOAJ |
| description | The Quality of Service (QoS) offered by a network is based on criteria such as delay, jitter and message loss. QoS management is crucial to ensure that the network respects the communication constraints defined by the application requirements. The network must dynamically manage QoS according to the evolution of network usage. To control QoS, the network implements mechanisms to schedule and regulate traffic. The main issue is identifying the relationship between these mechanisms and their effects on QoS values. The objective of this paper is to propose a method, based on fuzzy logic, for identifying this relationship and reusing it to dynamically control QoS. This study only focuses on the impact of the Weighted Round Robin (WRR) scheduler on the delay in a switched Ethernet network. The fuzzy controller is implemented in a network simulation tool (Riverbed Modeler) to efficiently manage the delay in the network. |
| first_indexed | 2024-12-10T08:10:02Z |
| format | Article |
| id | doaj.art-5397f08d78664842bb09b1b9bb8d8be0 |
| institution | Directory Open Access Journal |
| issn | 1875-6883 |
| language | English |
| last_indexed | 2024-12-10T08:10:02Z |
| publishDate | 2018-01-01 |
| publisher | Springer |
| record_format | Article |
| series | International Journal of Computational Intelligence Systems |
| spelling | doaj.art-5397f08d78664842bb09b1b9bb8d8be02022-12-22T01:56:35ZengSpringerInternational Journal of Computational Intelligence Systems1875-68832018-01-0111110.2991/ijcis.11.1.24Using fuzzy rules for network behavior identification: application for differentiated services in an Ethernet networkVincent BombardierJean-Philippe GeorgesÉric RondeauIdriss DiouriThe Quality of Service (QoS) offered by a network is based on criteria such as delay, jitter and message loss. QoS management is crucial to ensure that the network respects the communication constraints defined by the application requirements. The network must dynamically manage QoS according to the evolution of network usage. To control QoS, the network implements mechanisms to schedule and regulate traffic. The main issue is identifying the relationship between these mechanisms and their effects on QoS values. The objective of this paper is to propose a method, based on fuzzy logic, for identifying this relationship and reusing it to dynamically control QoS. This study only focuses on the impact of the Weighted Round Robin (WRR) scheduler on the delay in a switched Ethernet network. The fuzzy controller is implemented in a network simulation tool (Riverbed Modeler) to efficiently manage the delay in the network.https://www.atlantis-press.com/article/25886925/viewFuzzy rulesfuzzy identificationfuzzy controlswitched Ethernet networkquality of servicesoft scheduling |
| spellingShingle | Vincent Bombardier Jean-Philippe Georges Éric Rondeau Idriss Diouri Using fuzzy rules for network behavior identification: application for differentiated services in an Ethernet network International Journal of Computational Intelligence Systems Fuzzy rules fuzzy identification fuzzy control switched Ethernet network quality of service soft scheduling |
| title | Using fuzzy rules for network behavior identification: application for differentiated services in an Ethernet network |
| title_full | Using fuzzy rules for network behavior identification: application for differentiated services in an Ethernet network |
| title_fullStr | Using fuzzy rules for network behavior identification: application for differentiated services in an Ethernet network |
| title_full_unstemmed | Using fuzzy rules for network behavior identification: application for differentiated services in an Ethernet network |
| title_short | Using fuzzy rules for network behavior identification: application for differentiated services in an Ethernet network |
| title_sort | using fuzzy rules for network behavior identification application for differentiated services in an ethernet network |
| topic | Fuzzy rules fuzzy identification fuzzy control switched Ethernet network quality of service soft scheduling |
| url | https://www.atlantis-press.com/article/25886925/view |
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