Fog Computing

  title={Fog Computing},
  author={Christian Matt},
  journal={Business \& Information Systems Engineering},
  • C. Matt
  • Published 1 August 2018
  • Computer Science, Engineering
  • Business & Information Systems Engineering

Fog Computing in Industry 4.0: Applications and Challenges—A Research Roadmap

Virtual Sensors

The development of cyber-physical systems is drawing attention to the question of how data can be captured from the physical world and be fed into a connected IS: the condition of thephysical world can either be ‘‘directly’’ observed or indirectly derived by fusing data from one or more physical sensors.

Leaving the Shadow: A Configurational Approach to Explain Post-identification Outcomes of Shadow IT Systems

The study uses a configurational perspective to explain outcomes of shadow IT system identification, as well as the mechanisms and contextual conditions which bring them about, and gives insight into six distinct context-mechanism-outcome configurations explaining four outcomes that occur after shadow IT systems identification.

Smart Parking for Future Smart Cities Using Fog Computing Paradigms

The research will focus on investigating and proposing a smart parking solution using fog computing, which will provide insights on existing solutions as well as smart cities and their current positions.

Blockchain, IoT and Fog Computing for Smart Education Management

IoT and fog computing are integrated with AI systems embedded in various modern devices to be applied in environmental management and smart education management and will create credibility of administrative data in all departments and will reduce corruption.

Fog-Based Internet of Things Security Issues

It is shown that traditional cloud can be advantageous in some applications while fog can be better in other applications in terms of resistance to some types of security attacks, and each has certain strengths and weaknesses.

F3C: Fog-enabled Joint Computation, Communication and Caching Resource Sharing for Energy-Efficient IoT Data Stream Processing

  • Siqi LuoXu ChenZhi Zhou
  • Computer Science
    2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)
  • 2019
An efficient F3C algorithm based on an iterative task team formation mechanism which regards each task's 3C resource sharing as a subproblem solved by the elaborated min cost flow transformation is proposed and shown to converge to a stable system point.

Performance Analysis and Enhancement of Deep Convolutional Neural Network

A comprehensive deep convolutional neural network (DCNN) based condition monitoring framework to improve model performance and the results show that the one-dimensional DCNN model with a frequency domain input outperforms the others in terms of fault classification accuracy and computational efficiency.



Fog Computing: Will it be the Future of Cloud Computing?

The authors take an in depth look at both these technologies to investigate fog computing can reliably overcome the limitations of cloud computing and effectively replace it and become the de facto cloud computing model of the future.

Industry 4.0

Industry is the part of an economy that produces material goods which are highly mechanized and automatized. Ever since the beginning of industrialization, technological leaps have led to paradigm

Fog and IoT: An Overview of Research Opportunities

This survey paper summarizes the opportunities and challenges of fog, focusing primarily in the networking context of IoT.

User-Centric Security and Dependability in the Clouds-of-Clouds

The authors propose secure Supercloud computing as a new paradigm for security and dependability management of distributed clouds that follows a user-centric and self-managed approach to avoid technology and vendor lock-in.

Internet of Things and Edge Cloud Computing Roadmap for Manufacturing

The manufacturing industry is exploring the use of Internet of Things and cloud computing to enhance the efficiency of manufacturing plant operations, improve product quality, increase manufacturers'

Fog Computing: Helping the Internet of Things Realize Its Potential

Fog computing is designed to overcome limitations in traditional systems, the cloud, and even edge computing to handle the growing amount of data that is generated by the Internet of Things.

Fog computing and its role in the internet of things

This paper argues that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).

Cloud Computing – A Classification, Business Models, and Research Directions

This paper first presents a business model framework for Clouds, subsequently reviews and classifies current Cloud offerings in the light of this framework, and discusses challenges that have to be mastered in order to make the Cloud vision come true and points to promising areas for future research.