The emergence of new technologies and the era of IoT which will be based on compute-
intensive applications. These applications will increase the traffic volume of today's network …

Fog computing is introduced to help leverage the processing burden in cloud as it can no
longer sustain the ever-growing volume, velocity and variety of the IoT-generated data …

The recent age of cloud computing (CC) has witnessed significant breakthroughs, notably in
IoT (Internet of Things), Edge computing, Fog computing, 5G, and subsequently 6G …

Emerging technologies that generate a huge amount of data such as the Internet of Things
(IoT) services need latency aware computing platforms to support time-critical applications …

In this era of IoT, edge devices generate gigantic data every second. The main aim of these
IoT networks is to infer some meaningful information from the collected data. For the same …

Fog computing has the benefits to handle and reduce data traffic load towards the central
cloud in IoT systems. These benefits are facilitated with the help of offloaded fog services …

A huge amount of data is being generated in Internet of Things (IoT) devices used in smart
homes, traffic sensors, smart cities and various connected appliances. Fog computing is one …

Internets of Things (IoT) deployments generate large quantities of data that need to be
processed and analyzed in real time. Current IoT systems do not enable low-latency and …

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 …

In recent times, the Internet of Things (IoT) applications, including smart transportation, smart
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …