Driven by the increasing interests of multi-tier computing architecture, this paper considers a
hybrid non-orthogonal multiple access (NOMA) and frequency division multiple access …

In edge computing (EC), resource allocation is to allocate computing, storage and
networking resources on the edge nodes (ENs) efficiently and reasonably to tasks …

6G edge networks strive to offer ubiquitous intelligent services, requiring a greater emphasis
on network stability and reliability. However, current networks present a low automation …

Fine-grained service offloading in collaborative edge computing can realize full use of the
limited resources of edge nodes to achieve efficient parallel computing. The existing …

With the growing scale and intrinsic heterogeneity of Internet of Things (IoT) systems,
distributed device collaboration becomes essential for effective task completion by …

The fast evolution of the Internet of Things (IoT) marketplace demands real-time interactive
services. Cloud computing systems aim to harness remote data center-based computing …

When offloading computing tasks of sensory data to the edge network, it is necessary to
consider whether the idle resources such as CPU frequency and memory, meet the task …

In this paper, a Q-learning-based task scheduling approach for mixed-critical application on
heterogeneous multi-cores (QSMix) to optimize their main design challenges is proposed …

Distributed and heterogeneous edge computing environments require efficient allocation
and scheduling of multiple users' applications. This paper presents a game-theoretic …

Abstract The Multi-access Edge Computing (MEC) network enhances the processing
capability of Internet of Things (IoT) terminals by deploying 3C resources (computing …