With the development of multi-access edge computing (MEC), the cloudlet at the edge of the
network can provide nearby high-performance computing services, thus reducing the …

Timely and appropriate task offloading is difficult to achieve due to strong coupling between
tasks, uncertainty of computing resources and the dynamics of environment. In this article, a …

Multi-access edge computing promises satisfactory user experience by offloading tasks to
the MEC server deployed at the network edge. However, since the MEC server is often …

In multi-access edge computing (MEC), computation tasks offloaded from users are usually
associated with specific services that need to be cached in MEC nodes to enable task …

The edge user allocation (EUA) problem has attracted a lot of attention recently. EUA aims at
allocating edge users to nearby edge servers strategically to ensure low-latency network …

In recent years, multi-access edge computing (MEC) has become a hot topic. With its
distributed characteristics, MEC provides more possibilities for delay-sensitive tasks. In this …

Multi-access edge computing (MEC) enables users to exploit the resources of cloud
computing at a base station (BS) in proximity to the users where an MEC server is hosted …

In this paper, a new game-theoretic multi-layer computing resource and network resource
allocation algorithm is proposed for computation offloading in Multi-access Edge Computing …

More and more artificial intelligence (AI) applications, such as virtual reality (VR) and video
analytics, are rapidly progressing towards enterprise and end-users with the promise of …

The multi-access edge computing (MEC) paradigm has emerged as a critical solution to
address the exponential growth in mobile web services and devices. By implementing an …