TY - GEN
T1 - TALON
T2 - 33rd International Conference on Information Networking, ICOIN 2019
AU - Jin, Heesang
AU - Yang, Gyeongsik
AU - Yu, Bong Yeol
AU - Yoo, Chuck
N1 - Funding Information:
We thank the anonymous reviewers for their insightful comments, in advance. We also thank Anumeha for proofreading this paper. This work was supported by Institute for Information & Communications Technology Promotion (IITP) grant funded by the Korean government (MSIT) (No.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/5/17
Y1 - 2019/5/17
N2 - Virtualized software-defined networking (SDN) has been drawing increasing attention in data centers. SDN enables the creation of arbitrary and flexible virtual networks. However, given that the physical network is shared among multiple tenants, the throughput of a tenant can interfere with that of the other tenants, and the throughput requirement on each tenant cannot be met. To solve this problem, we propose TALON, a throughput allocation scheme based on traffic load-balancing. TALON allocates a throughput per tenant flow by calculating multiple paths to fulfill the traffic requirement. We design and implement TALON using an open-source network hypervisor. The evaluation results show that each tenant's throughput requirements are nearly met. In addition, the throughput increases by up to 2.29 times compared to that of a non-load-balancing network.
AB - Virtualized software-defined networking (SDN) has been drawing increasing attention in data centers. SDN enables the creation of arbitrary and flexible virtual networks. However, given that the physical network is shared among multiple tenants, the throughput of a tenant can interfere with that of the other tenants, and the throughput requirement on each tenant cannot be met. To solve this problem, we propose TALON, a throughput allocation scheme based on traffic load-balancing. TALON allocates a throughput per tenant flow by calculating multiple paths to fulfill the traffic requirement. We design and implement TALON using an open-source network hypervisor. The evaluation results show that each tenant's throughput requirements are nearly met. In addition, the throughput increases by up to 2.29 times compared to that of a non-load-balancing network.
KW - Network virtualization
KW - Software-defined networking
KW - Throughput allocation
KW - Traffic load-balancing
UR - http://www.scopus.com/inward/record.url?scp=85066733144&partnerID=8YFLogxK
U2 - 10.1109/ICOIN.2019.8717976
DO - 10.1109/ICOIN.2019.8717976
M3 - Conference contribution
AN - SCOPUS:85066733144
T3 - International Conference on Information Networking
SP - 233
EP - 238
BT - 33rd International Conference on Information Networking, ICOIN 2019
PB - IEEE Computer Society
Y2 - 9 January 2019 through 11 January 2019
ER -