Driven by the quality of experience (QoE) requirement of video streaming applications in the
smart city, smart education, immersive service, and connected vehicle scenarios, the …

With the development of telecommunication technologies and the proliferation of network
applications in the past decades, the traditional cloud network architecture becomes unable …

Abstract Proliferation of Industrial Internet has dramatically changed the way we live and
work. It brings convenience to our society and sometimes requires real-time processing of …

The advancements and progress in artificial intelligence (AI) and machine learning, and the
numerous availabilities of mobile devices and Internet technologies together with the …

Managing cache content at the edge is one of the many use cases of 5G-and-beyond
networks. However, increasing the density of Edge Data Centers (EDCs) to service requests …

Distributed Machine Learning (DML) at the edge has become an essential topic for
providing low-latency intelligence near the data sources. However, both the development …

Nowadays, a new paradigm named mobile edge computing (MEC) is capable of supplying
some cloud‐like functions at the edges of wireless networks, which enables vehicles to …

High quality video can provide viewers with better visual and immersive experience in video
streaming systems. However, traditional such systems with adaptive bitrate algorithms can …

Adaptive video streaming over wireless networks has experienced tremendous growth in
past few years. In order to guarantee users' quality of experience (QoE), adaptive bitrate …

The explosive growth of mobile data traffic generated primarily from resource-hungry video
streaming sessions challenges the service providers to deliver a better Quality of Service to …