In a hierarchical edge‐fog‐cloud architecture, edge devices possess limited resources and
energy. To contain with, it can offload some tasks generated by the Internet of Things (IoT) to …

Intelligent terminal devices (TDs) usually request delay-sensitive and resource-demanding
jobs, which are consisted of many sequential tasks. Mobile edge computing (MEC) offloads …

The advent of intelligent reflecting surface (IRS) technology has revolutionized the
landscape of wireless communication systems, offering promising opportunities for …

Device-edge collaboration on deep neural network (DNN) inference is a promising
approach to efficiently utilizing network resources for supporting artificial intelligence of …

The rapid development of Internet of Things (IoT) technologies has led to increasingly
complex software systems on Terminal Devices (TDs). This increases the computational …

With the increasing complexity of autonomous driving tasks, the computational demands on
single vehicular computing units have escalated, more and more tasks need to be offloaded …

Application specific network slices offered by different vendors is one of those approaches
proposed to bridge the gap between the demand and supply of resources in next generation …

The relevance of studies in queuing theory in social systems has inspired its adoption in
other mainstream technologies with its application in distributed and communication …

In edge computing, service providers aim to provide users with low latency, high reliability,
and more secure services by deploying services to edge servers close to users. However …

With the rapid advancement of artificial intelligence and wireless communication
technologies, the abundance of textual information has grown significantly, accompanied by …