A Low-overhead Network Monitoring for SDN-Based Edge Computing
Gespeichert in:
| Titel: | A Low-overhead Network Monitoring for SDN-Based Edge Computing |
|---|---|
| Autoren: | Tao, Hou-Yeh, Huang, Chih-Kai, Shen, Shan-Hsiang |
| Weitere Verfasser: | National Taiwan University of Science and Technology, Design and Implementation of Autonomous Distributed Systems (MYRIADS), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SYSTÈMES LARGE ÉCHELLE (IRISA-D1), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom Paris (IMT)-Institut Mines-Télécom Paris (IMT), IEEE |
| Quelle: | ISCC 2023 - 28th IEEE Symposium on Computers and Communications ; https://inria.hal.science/hal-04105471 ; ISCC 2023 - 28th IEEE Symposium on Computers and Communications, IEEE, Jul 2023, Tunis, Tunisia. pp.1-6 |
| Verlagsinformationen: | HAL CCSD IEEE |
| Publikationsjahr: | 2023 |
| Bestand: | Université de Rennes 1: Publications scientifiques (HAL) |
| Schlagwörter: | Monitoring, Software-defined networking, Multi-access edge computing environment, Reroute network flows, [INFO]Computer Science [cs] |
| Geographisches Schlagwort: | Tunis, Tunisia |
| Beschreibung: | International audience ; Using Software-Defined Networking (SDN) in edge computing environments allows for more flexible flow monitoring than traditional networking methods. In SDN, the controller collects statistics from all switches and can communicate with switches to dynamically manage the entire network. However, monitoring per-flow or per-switch mechanisms to obtain the flow statistics from all of the switches may significantly increase bandwidth costs between switches and the control plane. In this paper, we propose a Bandwidth Cost First (BCF) algorithm to reduce the number of monitored switches and therefore lower the monitoring cost. The experiment results show that our algorithm outperforms the existing technique by reducing the number of monitored switches by 56%, leading to a reduction in bandwidth overhead of 41% and switch processing delay by 25%. |
| Publikationsart: | conference object |
| Sprache: | English |
| Verfügbarkeit: | https://inria.hal.science/hal-04105471 https://inria.hal.science/hal-04105471v1/document https://inria.hal.science/hal-04105471v1/file/paper.pdf |
| Rights: | http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess |
| Dokumentencode: | edsbas.EFB6837C |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science Schreiben Sie den ersten Kommentar!