Fog computing (FC), extending cloud services to the network edge, has emerged as a key
paradigm for low-latency applications like the Internet of Things (IoT). However, efficient …

To fulfill people's expectations for smart and user-friendly Internet of Things (IoT)
applications, the quantity of processing is fast expanding, and task latency constraints are …

Fog computing becomes a promising technology to process user's requests near the
proximity of users to reduce response time for latency-sensitive requests. Despite its …

With the emergence of delay-and energy-critical vehicular applications, forwarding sense-
actuate data from vehicles to the cloud became practically infeasible. Therefore, a new …

Smart Robots, as an advanced domain of widespread concern, can be applied in diverse
fields to perform compute-intensive Internet of Things (IoT) applications. However, their …

Fog computing is a paradigm that offers distributed and diverse resources at the network
edge to fulfill the quality of service requirements. However, effectively managing these …

An efficient offloading strategy provides a promising solution to latency-sensitive
applications in a cloud fog environment, but the fog computing environment is not fully …

Internet of Things (IoT) devices along with associated software have proliferated at an
unprecedented pace, presenting the challenge of high energy use combined with latency …

The Internet of Things (IoT) uptake brought a paradigm shift in application deployment.
Indeed, IoT applications are not centralized in cloud data centers, but the computation and …

Internet of Things (IoT) devices along with associated software have proliferated at an
unprecedented pace, presenting the challenge of high energy use combined with latency …