Mobile edge computing emerges as a promising technology for the industrial internet of
things (IIoT). It provides more opportunities and efficient computing resources for end-users …

Network-accessible task offloading is for low latency; offline task offloading is for low cost.
Offline devices cannot directly access service nodes due to lack of resources. Accordingly …

With the emergence of Internet of Thing (IoT), a gigantic rise has been seen in smart
applications. IoT is going to be ubiquitous in the near future. Billions of sensors will be …

As an emerging computing paradigm, mobile edge computing (MEC) can improve users'
service experience by provisioning the cloud resources close to the mobile devices. With …

Mobile Edge Computing (MEC) technology philosophy inspires the next generation mobile
networks to provide cloud computing capabilities in addition to a diverse range of …

The energy consumption optimization of edge devices in the mobile edge computing
environment is mainly based on computational offload strategy. Most of the current common …

Many tasks generated by mobile user devices are computation-intensive and latency-
sensitive, such as autonomous driving and video analysis. However, due to limited energy …

The rapid development and diffusion of the Internet of Things (IoT) have increased the
growth of smart devices (SDs). SDs may run computation-intensive and delay-sensitive …

Task scheduling is one of the key technologies in edge computing. End devices can
significantly improve the quality of service by offloading some latency-sensitive tasks to edge …

Mobile Devices (MDs) support various delay/computation-intensive applications. Yet they
only have limited battery energy and computing resources, thereby failing to totally run all …