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).
CITATION STYLE
Basil, A. O., Mu, M., & Al-Sherbaz, A. (2019). A software defined network based research on fairness in multimedia. In FAT/MM 2019 - Proceedings of the 1st International Workshop on Fairness, Accountability, and Transparency in MultiMedia, co-located with MM 2019 (pp. 11–18). Association for Computing Machinery, Inc. https://doi.org/10.1145/3347447.3356750
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