Task allocation in edge computing refers to the process of distributing tasks among the
various nodes in an edge computing network. The main challenges in task allocation …

With advancements of cloud technologies Multi-Access Edge Computing (MEC) emerged as
a remarkable edge-cloud technology to provide computing facilities to resource-restrained …

Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …

Multi-access edge computing (MEC), based on hierarchical cloud computing, offers
abundant resources to support the next-generation Internet of Things network. However …

Task offloading from many Internet of Things (IoT) devices to a mobile edge computing
(MEC) system, consisting of multiple collaborative edge servers (CES), results in reduced …

Container-based cloud brokers sit between multiple cloud providers and users, renting
virtual machines (VMs) from multiple cloud providers, provisioning services to users, and …

The evolution of the Internet of Things (IoT) has instigated a dramatic surge in
interconnected devices, leading to the generation of substantial data. This immense data …

To address the challenges of delay-sensitive deep learning tasks, Deep Neural Network
(DNN) models are often partitioned and deployed to the cloud–edge environment for …

With the proliferation of the Internet of Things (IoT), mobile edge computing (MEC) has great
potential to achieve low latency, high reliability, and low energy consumption. However, in …

As is widely accepted, mobile edge computing (MEC) is a promising technology to enable
wireless devices (WDs) to process computation-intensive tasks. Due to the mutual influence …