Accurate and Efficient Monitoring for Virtualized SDN in Clouds
- Authors
- Yang, G.; Yoo, Y.; Kang, M.; Jin, H.; Yoo, C.
- Issue Date
- 2021
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Cloud computing; Control systems; Delays; Distributed systems; Monitoring; Network management; Network monitoring; Payloads; Virtual machine monitors; Virtualization
- Citation
- IEEE Transactions on Cloud Computing
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE Transactions on Cloud Computing
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/138450
- DOI
- 10.1109/TCC.2021.3089225
- ISSN
- 2168-7161
- Abstract
- 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. IEEE
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Collections - Graduate School > Department of Computer Science and Engineering > 1. Journal Articles
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