A Software Defined Network Based Research on Fairness in Multimedia
Abstract
The demand for online distribution of high quality and high throughput content has led to non-cooperative competition of network resources between a growing number of media applications. This causes a significant impact on network efficiency, the quality of user experience (QoE) as well as a discrepancy of QoE across user devices. Within a multi-user multi-device environment, measuring and maintaining perceivable fairness becomes as critical as achieving the QoE on individual user applications. This paper discusses application- and humanlevel fairness over networked multimedia applications and how such fairness can be managed through novel network designs using programmable networks such as software-defined networks (SDN).
| Original language | English |
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| Title of host publication | Proceedings of the 1st International Workshop on Fairness, Accountability, and Transparency in MultiMedia |
| Publisher | ACM Press |
| Pages | 11-18 |
| Number of pages | 8 |
| ISBN (Print) | 9781450369152 |
| Publication status | Published - 25 Oct 2019 |
| Event | FAT/MM: Fairness Accountability and Transparency in Multimedia : An ACM MM 2019 Workshop - Nice, France Duration: 21 Oct 2019 → 25 Oct 2019 https://acmmm.org/workshops/ |
Publication series
| Name | Proceedings of the 1st International Workshop on Fairness, Accountability, and Transparency in MultiMedia |
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| Internet address |
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DOI: 10.1145/3347447.3356750
Paper available at: http://www.mendeley.com/research/software-defined-network-based-research-fairness-multimedia
All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with. Twitter: @scottturneruon
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