Close computing paradigms such as fog and edge have become promising technologies for
mobile applications running on pervasive mobile equipment utilized by a wide range of …

The fog-computing paradigm complements cloud computing to support the deployment and
execution of latency-sensitive applications at the network edge by offering enhanced …

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 …

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 …

The huge amount and diversity of data generated by Internet of Things (IoT) devices and the
need to store and process this data led to the development of fog computing alongside cloud …

IoT networks can provide many benefits and opportunities, although their implementation
poses challenges. Cloud-only storage of IoT data would be very costly and time-consuming …

With increasing growth in IoT, the number of devices connected to the Internet is constantly
growing. Moreover, the increase in the volume of data and their transmission through the …

The number of devices connected to the Internet is continually rising due to the expansion of
the Internet of Things (IoT). Real-time IoT applications face significant challenges related to …

The dramatic growth of smart devices and the Internet of things (IoT) has increased the
volume of exchanges and data on the web. The centralized and traditional architecture of …

The user demand increment and resource restrictions in IoT can provide efficient services
without considering the service cost and service quality. Nowadays various computing …