As the number of tenants in clouds grows, virtualized SDN faces a challenge of control channel fairness as the control channels interfere with each other. This paper proposes an adaptive traffic shaping scheme for control channels called 'Sincon.' Through experiments, Sincon achieves traffic shaping for control channels and improves the variances of control channel throughputs and forwarding setup times up to 3.8 and 2.86 times, respectively.
|Title of host publication||Proceedings - 2020 IEEE 13th International Conference on Cloud Computing, CLOUD 2020|
|Publisher||IEEE Computer Society|
|Number of pages||3|
|Publication status||Published - 2020 Oct|
|Event||13th IEEE International Conference on Cloud Computing, CLOUD 2020 - Virtual, Beijing, China|
Duration: 2020 Oct 18 → 2020 Oct 24
|Name||IEEE International Conference on Cloud Computing, CLOUD|
|Conference||13th IEEE International Conference on Cloud Computing, CLOUD 2020|
|Period||20/10/18 → 20/10/24|
Bibliographical noteFunding Information:
‡This work was partly supported by Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (No. 2015-0-00280, (SW Starlab) Next generation cloud infra-software toward the guarantee of performance and security SLA) and by Next Generation Engineering Researcher Program of National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT (No. NRF-2019H1D8A2105513).
© 2020 IEEE.
- Cloud network
- Control channel traffic
- Network virtualization
- Traffic shaping
ASJC Scopus subject areas
- Artificial Intelligence
- Information Systems