The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

Driven by the emergence of new compute-intensive applications and the vision of the
Internet of Things (IoT), it is foreseen that the emerging 5G network will face an …

Recent advances in edge computing (EC) have pushed cloud-based data caching services
to edge; however, such emerging edge storage comes with numerous challenging and …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …

Fog computing has emerged as a promising paradigm that borrows the user-oriented cloud
services to the proximity of the Internet-of-Things (IoT) users in sixth-generation (6G) …

In the era of the Internet of Things (IoT), fog computing has become an enticing concept for
supporting delay-sensitive tasks by offering versatile and convenient computing and …

Fog computing is one of the promising technology that could reduce the execution cost and
energy consumption of smart industrial Internet of Things (IIoT) devices via a strategy called …

With the explosive growth of mobile and Internet of Things (IoT) applications, increasing
Mobile Edge Computing (MEC) systems have been developed by diverse Edge Service …

In multi-access edge computing (MEC), computation tasks offloaded from users are usually
associated with specific services that need to be cached in MEC nodes to enable task …

Abstract Internet of Vehicles (IoV) enables a wealth of modern vehicular applications, such
as pedestrian detection, real-time video analytics, etc., that can help to improve traffic …