In the scenario of Industry 4.0, mobile smart devices (SDs) on production lines have to
process massive amounts of data. These computing tasks sometimes far exceed the …

In recent years, the need for computation-intensive applications in mobile networks requiring
more storage, powerful processors, and real-time responses has risen substantially …

Due to the real-time requirements in several IoT applications, fog computing has emerged to
overcome the long latency and other constraints of cloud computing. Due to the high …

In order to describe the roadmap of current edge computing research activities, we first
address a brief overview of the most advanced edge computing surveys published in the last …

Smart mobile devices (SMDs) are integral for running advanced applications that demand
significant computing resources and quick response time, eg, immersive gaming and …

Edge computing paradigms such as cloudlet, mobile edge computing (MEC) and fog
computing, are promising to reduce network transmission delay while meeting intensive …

Edge computing is a promising technology to enable edge servers (ESs) to share computing
resources for task offloading. Due to the selfish characteristic of the ESs, how to design an …

In multiaccess edge computing (MEC) systems, existing task offloading methods have
provided ultrashort latency services for heterogeneous tasks on mobile devices (MDs) …

Cold-chain logistics system (CCLS) plays the role of collecting and managing the logistics
data of frozen food. However, there always exist problems of information loss, data …

With the rapid development of vehicle-to-everything communication technologies, many
emerging compute-intensive in-vehicle applications have emerged. Vehicle edge computing …