Due to the ever-increasing popularity of resource-hungry and delay-constrained mobile
applications, the computation and storage capabilities of remote cloud has partially migrated …

Integrating user ends (UEs), edge servers (ESs), and the cloud into end-edge-cloud
computing (EECC) can enhance the utilization of resources and improve quality of …

Abstract Mobile Edge Computing (MEC) enables smart mobile devices to handle
computationally intensive tasks with limited resources. By offloading tasks to the edge of the …

In edge-enabled Internet of Things (IoT), computation offloading service is expected to offer
users with better Quality of Experience (QoE) than traditional IoT. Unfortunately, the growing …

In this paper, we propose an optimization framework of computation offloading and resource
allocation for mobile-edge computing with multiple servers. Concretely, we aim to minimize …

Mobile edge computing (MEC) is becoming a promising paradigm of providing computing
servers, like cloud computing, to Edge node. Compared to cloud servers, MECs are …

To reduce the transmission latency and mitigate the backhaul burden of the centralized
cloud-based network services, the mobile edge computing (MEC) has been drawing …

Fog computing, which provides low-latency computing services at the network edge, is an
enabler for the emerging Internet of Things (IoT) systems. In this paper, we study the …

The Internet of mobile things is a burgeoning technique that generates, stores and
processes big real-time data to render rich services for mobile users. In order to mitigate …

With the rapid development of Artificial Intelligence (AI) and Internet of Things (IoT), we have
to perform increasingly more resource-hungry and compute-intensive applications on IoT …