Advancements in sensor and hardware technology have surged the growth of smart devices
(SDs), including smartphones, and wearable devices. The data generated by the built-in …

The rapid growth of the number of sensing devices enables computation offloading to be a
promising solution to alleviate the burden of core network communication and provide low …

The association between the fog node and the cloud in fog-cloud computing enables task
data offloading for the delay-sensitive services generated from the end-users. Limited by the …

Fog computing is a promising edge network paradigm for delay-sensitive applications,
attributed to the reduced link delays between nodes. However, the limited resources at the …

Fog computing is a promising network paradigm in the IoT area as it has a great potential to
reduce processing time for time-sensitive IoT applications. However, fog can get congested …

Fog computing allows computationally-heavy problems with tight time constraints to be
solved even if end devices have limited computational resources and latency induced by …

The rapid expansion of omnipresent phenomena, exemplified by the Internet of Things (IoT),
necessitates significant consideration of data volume and processing requirements. Cloud …

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 …

Fog computing, complementary to cloud computing, has recently emerged as a promising
solution that extends the computing infrastructure from the cloud center to the network edge …

This article studies edge caching in fog computing networks, where a capacity-aware edge
caching framework is proposed by considering both the limited fog cache capacity and the …