Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …

With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

We consider the problem of task offloading and resource allocation in mobile edge
computing (MEC). To maintain satisfactory quality of experience (QoE) of end-users, mobile …

Vehicular edge computing (VEC) provides an effective task offloading paradigm by pushing
cloud resources to the vehicular network edges, eg, road side units (RSUs). However …

Sending data to the cloud for analysis was a prominent trend during the past decades,
driving cloud computing as a dominant computing paradigm. However, the dramatically …

Network automation has been bred by the deployment of 5G based Industrial Internet-of-
Things (IIoT) in Industry 4.0, and further approaching pervasive AI and human-robot …

Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …

Edge Computing provides mobile and Internet-of-Things (IoT) app vendors with a new
distributed computing paradigm which allows an app vendor to deploy its app at hired edge …

In the edge computing (EC) environment, edge servers are deployed at base stations to offer
highly accessible computing and storage resources to nearby app users. From the app …

Due to the limited computing resource and battery capability at the mobile devices, the
computation-intensive tasks generated by mobile devices can be offloaded to edge servers …