Task offloading in mobile edge computing systems is subject to various random factors
including the connection to external servers, new task requests from users, and the …

Mobile edge computing (MEC) focuses on transferring computing resources close to the
user's device, and it provides high-performance and low-delay services for mobile devices. It …

The ever-evolving mobile applications need more and more computing resources to smooth
user experience and sometimes meet delay requirements. Therefore, mobile devices (MDs) …

In mobile edge computing systems, an edge node may have a high load when a large
number of mobile devices offload their tasks to it. Those offloaded tasks may experience …

Abstract Mobile Edge Computing (MEC) offers cloud-like capabilities to mobile users,
making it an up-and-coming method for advancing the Internet of Things (IoT). However …

Abstract Multiple-Services Mobile Edge Computing enables task-relate services cached in
edge server to be dynamically updated, and thus provides great opportunities to offload …

Edge servers, which are located in close proximity to mobile users, have become key
components for providing augmented computation and bandwidth. As the resources of edge …

Task offloading combined with reinforcement learning (RL) is a promising research direction
in edge computing. However, the intractability in the training of RL and the heterogeneity of …

We consider a mobile edge computing system that every user has multiple tasks being
offloaded to edge server via wireless networks. Our goal is to acquire a satisfactory task …

In mobile edge computing, there are usually relevant dependencies between different tasks,
and traditional algorithms are inefficient in solving dependent task offloading problems and …