Um modelo de alocação de recursos de rede e cache na borda para vídeo em fluxo contínuo armazenado e 360º
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2024-09-04
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Universidade Federal de Goiás
Resumo
The advancement of immersive technologies, such as Augmented Reality (AR) and Virtual Reality (VR), has introduced significant challenges in the transmission of 360-degree videos, due to the increasing bandwidth and low latency requirements resulting from the large size of video frames used in these technologies. At the same time, video
streaming consumption has grown exponentially, driven by technological advances and the widespread use of Internet-connected devices. Efficient transmission of 360-degree videos faces challenges such as the need for up to five times more bandwidth than that required for conventional vídeo high-definition transmissions, as well as stricter latency constraints. Strategies such as video projection slicing and transmitting only the user’s field of view, along with efficient network resource allocation, have been explored to overcome these limitations. To address these challenges, we propose DTMCash, which stands out by using dynamic tiles and combining users’ viewports, effectively tackling transmission in multi-user scenarios. The goal of this work is to develop a model for network and edge cache resource allocation for 360-degree video transmission, focusing on the optimization of these resources. To validate the proposed model, we initially conducted comparative experiments with 6 users, later expanding to 30 users. We also tested performance with different cache sizes and experiments varying user entry times, in addition to evaluating the transmission of different video content. Compared to a state-of-the-art solution, our proposal reduced the aggregate bandwidth consumption of the Internet link by at least 48.2%, while maintaining the same consumption on the wireless link and providing greater efficiency in cache usage
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OLIVEIRA, G. D. Um modelo de alocação de recursos de rede e cache na borda para vídeo em fluxo contínuo armazenado e 360º. 2024. 59 f. Dissertação (Mestrado em Ciência da Computação) - Instituto de Informática, Universidade Federal de Goiás, Goiânia, 2024.