TALON: Tenant Throughput Allocation Through Traffic Load-Balancing in Virtualized Software-Defined Networks

Heesang Jin; Gyeongsik Yang; Bong Yeol Yu; Chuck Yoo

doi:10.1109/ICOIN.2019.8717976

TALON: Tenant Throughput Allocation Through Traffic Load-Balancing in Virtualized Software-Defined Networks

Heesang Jin, Gyeongsik Yang, Bong Yeol Yu, Chuck Yoo

Department of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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	https://doi.org/10.1109/ICOIN.2019.8717976
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

Keywords

Network virtualization
Software-defined networking
Throughput allocation
Traffic load-balancing

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Access to Document

10.1109/ICOIN.2019.8717976

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Cite this

Jin, H., Yang, G., Yu, B. Y., & Yoo, C. (2019). TALON: Tenant Throughput Allocation Through Traffic Load-Balancing in Virtualized Software-Defined Networks. In 33rd International Conference on Information Networking, ICOIN 2019 (pp. 233-238). [8717976] (International Conference on Information Networking; Vol. 2019-January). IEEE Computer Society. https://doi.org/10.1109/ICOIN.2019.8717976

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

Jin, H, Yang, G, Yu, BY & Yoo, C 2019, TALON: Tenant Throughput Allocation Through Traffic Load-Balancing in Virtualized Software-Defined Networks. in 33rd International Conference on Information Networking, ICOIN 2019., 8717976, International Conference on Information Networking, vol. 2019-January, IEEE Computer Society, pp. 233-238, 33rd International Conference on Information Networking, ICOIN 2019, Kuala Lumpur, Malaysia, 19/1/9. https://doi.org/10.1109/ICOIN.2019.8717976

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