Um modelo de alocação de recursos de rede e cache na borda para vídeo em fluxo contínuo armazenado e 360º

• Ano de defesa: 2024
• Autor(a) principal: Oliveira, Gustavo Dias de
• Orientador(a): Correa, Sand Luz
• Banca de defesa: Cardoso, Kleber Vieira, Cerqueira, Eduardo Coelho, Oliveira Júnior, Antonio Carlos de
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• dARK ID: ark:/38995/001300000fc18
• Idioma: por
• Instituição de defesa: Universidade Federal de Goiás
• Programa de Pós-Graduação: Programa de Pós-graduação em Ciência da Computação (INF)
• Departamento: Instituto de Informática - INF (RMG)
• País: Brasil
• Palavras-chave em Português: 360º video streaming; MEC cache; Multiusuário 360º; Transmissão 360º; Tiles dinâmicos
• Palavras-chave em Inglês: 360-degree streaming; MEC caching; Multiple users 360-degree; 360-degree transmission; Dynamic tiles
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::SISTEMAS DE COMPUTACAO
• Link de acesso: http://repositorio.bc.ufg.br/tede/handle/tede/13622

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