Abstract
Network virtualization involves creating multiple virtual net-works within a physical network, based on the exible net-work environment of software-defined networking (SDN). In a virtualized SDN (vSDN), a network hypervisor plays a key role in translating physical network resources into vir-tual network resources. However, this translation in vSDN incurs considerable overhead in network monitoring that is critical for network management. In this paper, we pro-pose Flo-v to provide network monitoring in a vSDN. Flo-v provides accurate monitoring information to a vSDN and, by applying selective and adaptive approaches, it monitors traffic in a network hypervisor with lower overhead than ex-isting schemes. We compare the proposed Flo-v with exist-ing schemes, and demonstrate that Flo-v provides accurate network information with reduced resource usage in terms of both the network and CPU, with approximately 50% less overhead than existing schemes.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 11th International Conference on Future Internet Technologies, CFI 2016 |
| Publisher | Association for Computing Machinery |
| Pages | 90-94 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450341813 |
| DOIs | |
| Publication status | Published - 2016 Jun 15 |
| Event | 11th International Conference on Future Internet Technologies, CFI 2016 - Nanjing, China Duration: 2016 Jun 15 → 2016 Jun 17 |
Publication series
| Name | ACM International Conference Proceeding Series |
|---|---|
| Volume | 15-17-June-2016 |
Other
| Other | 11th International Conference on Future Internet Technologies, CFI 2016 |
|---|---|
| Country/Territory | China |
| City | Nanjing |
| Period | 16/6/15 → 16/6/17 |
Bibliographical note
Publisher Copyright:© Copyright 2016 ACM.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
Keywords
- Network monitoring
- Network virtualization
- Software defined networking
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Vision and Pattern Recognition
- Computer Networks and Communications
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