The ability of current cloud model is insufficient to handle requirements of Internet of Things
(IoT). In cloud computing-based IoT model, IoT has unsupported features, eg, geographical …

Nowadays, owing to the advancement of electronics and telecommunications and the
increasing usage of the Internet, various powerful devices with networking capabilities are …

The traditional cloud model is unable to meet the expectations of the Internet of Things (IoT)
because it lacks the necessary capabilities. Some IoT applications, such as smart …

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 …

The adoption of IoT has increased rapidly due to the abundance in the availability,
affordability, and capability of different components like sensors, processors, and …

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 …

Fog Computing, sometimes also referred to as Edge Computing, extends the Cloud
Computing paradigm to lower latency, improve location awareness, provide better support …

The expansion of the Internet of Things (IoT) has made it possible for numerous widespread
objects to connect to one another and communicate with one another, leading to …

This article describes how in recent years, Cloud Computing has emerged as a fundamental
computing paradigm that has significantly changed the approach of enterprises as well as …

As the number of Internet of Things (IoT) devices is increasing, communication over the
Internet is getting heavier. To overcome the latency, Internet traffic, and communication …