Accurate and Efficient Monitoring for Virtualized SDN in Clouds
| Autor: | Minkoo Kang, Heesang Jin, Gyeongsik Yang, Yeonho Yoo, Chuck Yoo |
|---|---|
| Rok vydání: | 2023 |
| Předmět: |
Transmission delay
Computer Networks and Communications business.industry Computer science Distributed computing Network virtualization Cloud computing Throughput Network monitoring Virtualization computer.software_genre Computer Science Applications Hardware and Architecture Control channel Forwarding plane business computer Software Information Systems |
| Zdroj: | IEEE Transactions on Cloud Computing. 11:229-246 |
| ISSN: | 2372-0018 |
| Popis: | This paper presents V-Sight, a network monitoring framework for programmable virtual networks in clouds. Network virtualization based on software-defined networking (SDN-NV) in clouds makes it possible to realize programmable virtual networks; consequently, this technology offers many benefits to cloud services for tenants. However, to the best of our knowledge, network monitoring, which is a prerequisite for managing and optimizing virtual networks, has not been investigated in the context of SDN-NV systems. As the first framework for network monitoring in SDN-NV, we identify three challenges: non-isolated and inaccurate statistics, high monitoring delay, and excessive control channel consumption for gathering statistics. To address these challenges, V-Sight introduces three key mechanisms: 1) statistics virtualization for isolated statistics, 2) transmission disaggregation for reduced transmission delay, and 3) pCollector aggregation for efficient control channel consumption. The evaluation results reveal that V-Sight successfully provides accurate and isolated statistics while reducing the monitoring delay and control channel consumption in orders of magnitude. We also show that V-Sight can achieve a data plane throughput close to that of non-virtualized SDN. |
| Databáze: | OpenAIRE |
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