The Fog computing paradigms are becoming popular means of utilizing resources optimally
by the IoT devices, extending quality of service to the vicinity of the user, and achieve fast …

The emergence of Internet of Things (IoT) has enabled the interconnection and
intercommunication among massive ubiquitous things, which caused an unprecedented …

Fog Computing is a distributed computing environment that extends the Cloud Computing
paradigm to fully support the Internet of Things (IoT) vision. It aims to push the intelligence …

With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud
computing paradigm faces several challenges such as high latency, low capacity and …

Today, relevant data are typically delivered to cloud-based servers for storing and analysis
in order to extract key features and enable enhanced applications beyond the basic …

Cloud computing plays a vital role in processing a large amount of data. However, with the
arrival of the Internet of Things, huge data are generated from these devices. Thus, there is …

With the increasing advancement in the applications of the Internet of Things (IoT), the
integrated Cloud Computing (CC) faces numerous threats such as performance, security …

A huge amount of data, generated by Internet of Things (IoT), is growing up exponentially
based on nonstop operational states. Those IoT devices are generating an avalanche of …

Research in the Internet of Things (IoT) conceives a world where everyday objects are
connected to the Internet and exchange, store, process, and collect data from the …

With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer
satisfactory services for latency‐sensitive and real‐time applications due to high latency and …