Resumo
Video streaming has become one of the most popular applications
in recent years. With the exponential increase in demand for
content, the development of adaptive solutions that balance the
efficient use of computational resources while maintaining a high
quality of experience for users, especially mobile users, has become
essential. In this context, the integration between edge and cloud
infrastructures emerges as a promising approach for delivering
high-quality video as the user moves. This integration encompasses
a wide range of devices, from mobile equipment to servers in data
centers, including intermediary servers based on fog computing,
many of which are deployed near 4G/5G base stations. This work
proposes to investigate rule-based autonomic computing strategies
for the dynamic adaptation of streaming video services to better
utilize computational resources in edge and cloud infrastructures.
Specifically, it explores the content-steering architecture, implemented
by the Dynamic Adaptive Streaming over HTTP (DASH)
protocol, as a solution to optimize streaming video, focusing on
enhancing the quality of experience for mobile users.