Abstract The advent of Online Social Networks (OSNs) and the Internet-of-Things (IoT) has
catalyzed an unprecedented surge in data generation at smart device endpoints. This …

With the rapid development of the Internet of things (IoT) and mobile communication
technology, the amount of data related to industrial Internet of things (IIoT) applications has …

In recent years, edge computing has become an increasingly popular computing paradigm
to enable real-time data processing and mobile intelligence. Edge computing allows …

Social networks (SNs) are sources with extreme number of users around the world who are
all sharing data like images, audio, and video to their friends using IoT devices. This concept …

Edge computing has become a prominent solution when it comes to mobile applications and
data management, due to its ability to considerably reduce data transmission costs, and to …

Edge computing is promoted to meet increasing performance needs of data‐driven services
using computational and storage resources close to the end devices at the edge of the …

Nowadays, smart mobile devices generate huge amounts of data in all sorts of gatherings.
Much of that data has localized and ephemeral interest, but can be of great use if shared …

The growing heterogeneity and decentralization in the modern computing paradigm of edge-
cloud continuum introduces new constraints on storage systems, such as storage type …

With the rapid development of edge–cloud computing, distributing resources to edge nodes
and terminal devices to provide high-quality services for latency-sensitive applications and …

Currently, smart systems are widely used in various scenarios such as smart cities, smart
healthcare and smart logistics. Meanwhile, centralized cloud computing has become the …