Abstract
Network virtualization based on SDN has gained attention in cloud networking. However, existing studies have not provided any failover technique in the event of physical link failure. We propose FAVE, which provides seamless failover and bandwidth-aware protection. FAVE carefully allocates backup routes to handle both failure and interference between tenants. Evaluation shows that FAVE is effective. To our knowledge, FAVE is the first attempt to address failover in virtualized SDN environments.
Original language | English |
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Title of host publication | Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services |
Editors | Elisa Bertino, Carl K. Chang, Peter Chen, Ernesto Damiani, Michael Goul, Katsunori Oyama |
Publisher | IEEE Computer Society |
Pages | 505-507 |
Number of pages | 3 |
ISBN (Electronic) | 9781728127057 |
DOIs | |
Publication status | Published - 2019 Jul |
Event | 12th IEEE International Conference on Cloud Computing, CLOUD 2019 - Milan, Italy Duration: 2019 Jul 8 → 2019 Jul 13 |
Publication series
Name | IEEE International Conference on Cloud Computing, CLOUD |
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Volume | 2019-July |
ISSN (Print) | 2159-6182 |
ISSN (Electronic) | 2159-6190 |
Conference
Conference | 12th IEEE International Conference on Cloud Computing, CLOUD 2019 |
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Country/Territory | Italy |
City | Milan |
Period | 19/7/8 → 19/7/13 |
Bibliographical note
Funding Information:∗This work was supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korean government (MSIT) (No. 2015-0-00288, Research of Network Virtualization Platform and Service for SDN 2.0 Realization, and No. 2015-0-00280, (SW Starlab) Next generation cloud infra-software toward the guarantee of performance and security SLA).
Publisher Copyright:
© 2019 IEEE.
Keywords
- Failover
- Network virtualization
- Software-defined networking
- Traffic engineering
ASJC Scopus subject areas
- Artificial Intelligence
- Information Systems
- Software