Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Adaptive streaming strategies over HTTP allow to serve heterogeneous video users with varying demands. By providing different encoded versions (representations) of each video sequence on the server, clients have the freedom to select a representation that best fits their needs. While the topic of selecting a representation based on a pre-defined set is covered very ll in the literature, the problem of how to properly select the representation set stored at the main server is usually an overlooked challenge. In this work,  provide an analysis on how the choice of representations on the server impacts the clients' quality. This is achieved by conducting  NS-3  based simulations with a total of 10k users and up to 300  concurrent  DASH clients for several recommended sets (e.g., Netflix, YouTube, and Apple), and measuring the experienced quality over a timespan of 24 hours. The results show that under heavy load (at peak hours) there is still room for improvement.
['Christian Kreuzberger', 'Benjamin Rainer', 'Hermann Hellwagner', 'Laura Toni', 'Pascal Frossard']
I am writing a research paper on a idea A comparative study of DASH representation sets using real user characteristics
[{"from": "human", "value": "I am writing a research paper on a idea A comparative study of DASH representation sets using real user characteristics"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Adaptive streaming strategies over HTTP allow to serve heterogeneous video users with varying demands. By providing different encoded versions (representations) of each video sequence on the server, clients have the freedom to select a representation that best fits their needs. While the topic of selecting a representation based on a pre-defined set is covered very ll in the literature, the problem of how to properly select the representation set stored at the main server is usually an overlooked challenge. In this work,  provide an analysis on how the choice of representations on the server impacts the clients' quality. This is achieved by conducting  NS-3  based simulations with a total of 10k users and up to 300  concurrent  DASH clients for several recommended sets (e.g., Netflix, YouTube, and Apple), and measuring the experienced quality over a timespan of 24 hours. The results show that under heavy load (at peak hours) there is still room for improvement."}]