A Survey Based Study on Fog Computing Awareness

Abstract

In this day and age, the rise in technological advancements has the potential to improve and transform our lives every day. The rapid technology innovation can have a great impact on our business operations. Currently, Cloud computing services are popular and offer a wide range of opportunities for their customers. This paper presents a survey on a more recent computing architecture paradigm known as Fog Computing. Fog networking is a beneficial solution that offers the greater facility of data storage, enhanced computing, and networking resources. This new concept of fog complements cloud solution by facilitating its customers with better security, real-time analysis improved efficiency. To get a clear picture and understanding of how fog computing functions, we have performed an extensive literature review. We also presented a comparative study of fog computing with cloud and grid computing architectures. In this study, we have conducted a survey that led us to the conclusion that fog computing solution is still not applicable and implemented in most of the IoT industries due to the lack of awareness and the high architecture’s cost. Results of the study also indicate that optimized data storage and security are a few of the factors that can motivate organizations to implement the Fog computing architecture. Furthermore, the challenges related to fog computing solution are reviewed for progressive developments in the future.

Distributed Intelligence Model for IoT Applications Based on Neural Networks

“…The smart home cloud application is configured to have the prior-belief probability [2] needed for the attributes that control the light and air conditioning (Fig. 1.…”

“…First, the Node-Red cloud application will process the offloaded tasks based on the prior-belief probability distribution of the attributes controlling the light and air condition. The Node-Red cloud is configured to have priorbelief probability [2] for the attributes that control the light and air conditioning (Fig. 1.…”

“…It is anticipated that 8.4 billion smart things will be associated with the Internet by 2022, and the number of machine-to-machine (M2M) connections is anticipated to reach 27 billion by 2024 [1]. Enabling the IoT has many challenges that cannot be ignored related to its availability, scalability, energy efficiency, security and privacy, and reliability [2,3,4]. Although there are many proposed research that tried to figure out those challenges, most of them are cloud-based and are not the best solution because they do not deal with real-time data [5].…”