Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 33rd International Conference on Information Networking, ICOIN 2019 |
| Publisher | IEEE Computer Society |
| Pages | 233-238 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538683507 |
| DOIs | |
| Publication status | Published - 2019 May 17 |
| Event | 33rd International Conference on Information Networking, ICOIN 2019 - Kuala Lumpur, Malaysia Duration: 2019 Jan 9 → 2019 Jan 11 |
Publication series
| Name | International Conference on Information Networking |
|---|---|
| Volume | 2019-January |
| ISSN (Print) | 1976-7684 |
Conference
| Conference | 33rd International Conference on Information Networking, ICOIN 2019 |
|---|---|
| Country | Malaysia |
| City | Kuala Lumpur |
| Period | 19/1/9 → 19/1/11 |
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Keywords
- Network virtualization
- Software-defined networking
- Throughput allocation
- Traffic load-balancing
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
Cite this
TALON : Tenant Throughput Allocation Through Traffic Load-Balancing in Virtualized Software-Defined Networks. / Jin, Heesang; Yang, Gyeongsik; Yu, Bong Yeol; Yoo, Chuck.
33rd International Conference on Information Networking, ICOIN 2019. IEEE Computer Society, 2019. p. 233-238 8717976 (International Conference on Information Networking; Vol. 2019-January).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - TALON
T2 - Tenant Throughput Allocation Through Traffic Load-Balancing in Virtualized Software-Defined Networks
AU - Jin, Heesang
AU - Yang, Gyeongsik
AU - Yu, Bong Yeol
AU - Yoo, Chuck
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
UR - http://www.scopus.com/inward/citedby.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
ER -