Explorando o Redirecionamento de Streaming de Vídeo em Infraestruturas de Borda-Nuvem para Usuários Móveis

ResumoVideo streaming has become one of the most popular applicationsin recent years. With the exponential increase in demand forcontent, the development of adaptive solutions that balance theefficient use of computational resources while maintaining a highquality of experience for users, especially mobile users, has becomeessential. In this context, the integration between edge and cloudinfrastructures emerges as a promising approach for deliveringhigh-quality video as the user moves. This integration encompassesa wide range of devices, from mobile equipment to servers in datacenters, including intermediary servers based on fog computing,many of which are deployed near 4G/5G base stations. This workproposes to investigate rule-based autonomic computing strategiesfor the dynamic adaptation of streaming video services to betterutilize computational resources in edge and cloud infrastructures.Specifically, it explores the content-steering architecture, implementedby the Dynamic Adaptive Streaming over HTTP (DASH)protocol, as a solution to optimize streaming video, focusing onenhancing the quality of experience for mobile users.

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Publication Details

Journal
Anais do Computer on the Beach
Published
2025-05-27
DOI
https://doi.org/10.14210/cotb.v16.p543-545
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
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article

Explorando o Redirecionamento de Streaming de Vídeo em Infraestruturas de Borda-Nuvem para Usuários Móveis

Roberto Rodrigues Filho, Alison R. Panisson, Eduardo Cristaldo Panizzon
Anais do Computer on the Beach
Image and Video Quality Assessment
article

Explorando o Redirecionamento de Streaming de Vídeo em Infraestruturas de Borda-Nuvem para Usuários Móveis

Roberto Rodrigues Filho, Alison R. Panisson, Eduardo Cristaldo Panizzon
article en

Abstract

ResumoVideo streaming has become one of the most popular applicationsin recent years. With the exponential increase in demand forcontent, the development of adaptive solutions that balance theefficient use of computational resources while maintaining a highquality of experience for users, especially mobile users, has becomeessential. In this context, the integration between edge and cloudinfrastructures emerges as a promising approach for deliveringhigh-quality video as the user moves. This integration encompassesa wide range of devices, from mobile equipment to servers in datacenters, including intermediary servers based on fog computing,many of which are deployed near 4G/5G base stations. This workproposes to investigate rule-based autonomic computing strategiesfor the dynamic adaptation of streaming video services to betterutilize computational resources in edge and cloud infrastructures.Specifically, it explores the content-steering architecture, implementedby the Dynamic Adaptive Streaming over HTTP (DASH)protocol, as a solution to optimize streaming video, focusing onenhancing the quality of experience for mobile users.

Anais do Computer on the Beach
Universidade Federal de Santa Catarina (BR)
Openalex Percentile: Top 90%
Image and Video Quality Assessment
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