The Internet of Everything (IoE) solutions gradually bring every object online, and processing data in centralized cloud does not scale to requirements of such environment. This is because, there are applications such as health monitoring and emergency response that require low latency and delay caused by transferring data to the cloud and then back to the application can seriously impact the p...

Nowadays, the Cloud is migrating to the edge of the network and the traditional Cloud Computing (CC) paradigm is not enough for the storage of Big Data (BD) produced by Internet of Things (IoT). To meet this requirement, a new platform is needed, namely ”Fog Computing”. Under Fog Computing, most of the functions of data processing are performed out from the Cloud, so that a reliable and efficie...

Besides the popular Cloud Computing paradigm, a new approach to distributed computation, known as Fog Computing, has been emerging in the last few years. This approach suggests, that the intelligence should move from the data centers to the network level. In the past years, Fog Computing has been gaining more attention, which has led to the rise in projects and publications. Unfortunately, ther...

Fog computing extends cloud computing, provides the services like data, compute, storage and application to end user. It improves the quality of service and also reduces latency. According to Cisco, due to its wide geographical distribution, the Fog computing is well suited for real time analytics and big data. This article, by exploitation advantages of Fog computing Paradigm, analyzes its app...

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The recent advances in the cloud services technology are fueling a plethora of information technology innovation, including networking, storage and computing. Today, various flavors have evolved of Internet of Things (IoT), cloud computing and the so-called fog computing, – a concept referred to capabilities of edge-devices and user’s clients to compute, store and exchange data among each other...

Mobile Edge Computing (MEC) as an emerging paradigm utilizing cloudlet or fog nodes to extend remote cloud computing to the edge of the network, is foreseen as a key technology towards next generation wireless networks. By offloading computation intensive tasks from resource constrained mobile devices to fog nodes or the remote cloud, the energy of mobile devices can be saved and the computatio...

As billions of devices get connected to the Internet, it will not be sustainable to use the cloud as a centralised server. The way forward is to decentralise computations away from the cloud towards the edge of the network closer to the user. This reduces the latency of communication between a user device and the cloud, and is the premise of ‘fog computing’ defined in this paper. The aim of thi...

 In many countries, especially in under developed and developing countries proper health care service is a major concern. The health centers are far and even the medical personnel are deficient when compared to the requirement of the people. For this reason, health services for people who are unhealthy and need health monitoring on regular basis is like impossible. This makes the health monito...

We present a container-based architecture for supporting autonomic data stream processing application on Fog computing infrastructures. Our architecture runs applications as Docker containers, and it exploits Docker’s native features to dynamically scale up/down the resources of a Fog node assigned to the applications running on it. Preliminary results demonstrate that Docker containers are app...