Mobile cloud computing (MC2) is emerging as a promising computing paradigm which helps
alleviate the conflict between resource-constrained mobile devices and resource-consuming …

In this paper, a mobile edge computing framework with multi-user computation offloading
and transmission scheduling for delay-sensitive applications is studied. In the considered …

Utilizing the intelligence at the network edge, edge computing paradigm emerges to provide
time-sensitive computing services for Internet of Things. In this paper, we investigate …

Computing tasks offloaded from user devices (UDs) can be carried out by one or more
mobile edge computing (MEC) servers to alleviate the computing burden of UDs. The …

Mobile edge computing (MEC) is expected to provide cloud-like capacities for mobile users
(MUs) at the edge of wireless networks. However, deploying MEC systems faces many …

Mobile edge computing (MEC) yields significant paradigm shift in industrial Internet of things
(IIoT), by bringing resource-rich data center near to the lightweight IIoT mobile devices …

By acquiring cloud-like capacities at the edge of a network, edge computing is expected to
significantly improve user experience. In this paper, we formulate a hybrid edge-cloud …

In this paper, end devices are considered here as agent, which makes its decisions on
whether the network will offload the computation tasks to the edge devices or not. To tackle …

Mobile edge computing (MEC) is proposed as a new paradigm to meet the ever-increasing
computation requirements, which is caused by the rapid growth of the Internet of Things (IoT) …

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 …