ELBA: Efficient Layer Based Routing Algorithm in SDN
Abstract
Adaptive streaming dynamically adapts video quality level according to the perceived device status and network conditions. It requires several representations of the same content, each encoded at different quality rates. As a representative example, H.264/SVC eliminates the requirement of redundant representations, improving the efficiency of caching and storage infrastructure. SVC video consists of a "Base Layer" and one or more of "Enhancement Layers". These layers have inter-dependencies and different QoS requirements. On another side, SDN allows forwarding tables to be adjusted dynamically, enabling us to route every individual flow differently. In this paper, we propose ELBA, an algorithm for scalable video streaming over SDN. ELBA utilizes the dynamic re-routing capability of SDN, to stream different layers of SVC coded video over possibly different suitable paths. In the proposed video streaming system, we use a novel mechanism to exchange information between the control plane and streaming servers. We have compared the performance of our approach with traditional Internet routing technique. Our evaluation results show that our proposal is not only feasible but in particular, it significantly outperforms the traditional Internet routing approach in terms of QoE.
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- Authors
- Gangwal, A., Gupta, M., Gaur, M. S., Laxmi, V., & Conti, M.
- Affiliations
- Malaviya National Institute of Technology Jaipur (IN)
- Venue
- 2016 25th International Conference on Computer Communication and Networks (ICCCN)
- Publisher
- IEEE
- Published
- 2016-08
- Volume
- 8
- Pages
- 1-7
- ISSN
- 1095-2055 (ISSN-L)
- OpenAlex
- W2519886475
- Cited by
- 16
- References
- 25
- Citations by year
- 2025: 1 · 2023: 2 · 2022: 2 · 2021: 2 · 2020: 1 · 2019: 3 · 2018: 3 · 2017: 2
- FWCI
- 2.28
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Computer Communications and Networks (ICCCN) (publishedVersion)
- Padua Research Archive (University of Padova) (submittedVersion)
- Funders
- European Commission
- Malaviya National Institute of Technology, Jaipur
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Physical Sciences › Computer Science › Computer Networks and Communications › Caching and Content Delivery
- Physical Sciences › Computer Science › Computer Networks and Communications › Network Traffic and Congestion Control
- Keywords
- scalable video coding, H.264/SVC, software-defined networking, adaptive video streaming, quality of experience, control plane, enhancement layer
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