To store, analyse and process the large volume of data generated by IoT traditional cloud
computing, is used everywhere. However, the traditional cloud data centres have their …

Internet of things (IoT) gains wide attention in every domain due to its potential ability to
connect large number of device that generates a huge amount of data. IoT applications …

Fog computing (FC) is an evolving computing technology that operates in a distributed
environment. FC aims to bring cloud computing features close to edge devices. The …

In current world, processing the data by the users, researchers, organizations, etc. through
online source (ie. cloud) is increasing tremendously, where it offers various services like …

As deep learning, virtual reality, and other technologies become mature, real-time data
processing applications running on intelligent terminals are emerging endlessly; meanwhile …

Abstract Internet-of-Things (IoT) generate large data that is processed, analysed and filtered
by cloud data centres. IoT is getting tremendously popular: the number of IoT devices …

Most of the Internet of Things (IoT) applications are time sensitive and require low latency, as
a millisecond delay can affect a huge production in the machine-dependent environment …

Cloud computing has been employed for supporting storage and handling of Internet of
Things (IoT) data. There is an increasing demand for IoT framework to provide services with …

Although the Internet of things (IoT), cloud computing (CC), and Big Data (BGD) are three
different approaches that have evolved independently of each other over time; however, with …

Abstract Edge-of-Things (EoT) emerged as a novel computing and storage paradigm to
overcome the limitations of IoT-cloud environment by providing cloud-like services at edge …