Estratégias para qualidade de serviço em streaming de vídeos: um mapeamento sistemático da literatura

Abstract

Video streaming services have become one of the main forms of digital content consumption on web and mobile platforms. However, the development and maintenance of these services involve a range of technical challenges that directly impact the perceived quality and effectiveness of content delivery. This study aims to conduct a systematic mapping of the literature (MSL) related to video streaming applications and services, focusing on identifying the main challenges faced by developers, as well as the most recurrent solutions and strategies proposed in the literature. Based on the analysis of primary studies, this work consolidates knowledge about the technologies employed, observed limitations, factors affecting quality of experience and approaches used to mitigate these issues. The results indicate a predominance of studies focused on mobile environments, with strong emphasis on adaptive streaming techniques, QoE evaluation and the use of machine learning. The main challenges identified include network instability, user mobility, limitations in bitrate adaptation and monitoring constraints in encrypted traffic scenarios, while the most frequent solutions involve network-aware strategies, QoE-oriented mechanisms and distributed architectures based on edge computing.