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Addressing the Node Discovery Problem in Fog Computing

Authors Vasileios Karagiannis , Nitin Desai , Stefan Schulte , Sasikumar Punnekkat

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Author Details

Vasileios Karagiannis
  • Distributed Systems Group, TU Wien, Austria
Nitin Desai
  • Mälardalen University, Västerås, Sweden
Stefan Schulte
  • Distributed Systems Group, TU Wien, Austria
Sasikumar Punnekkat
  • Mälardalen University, Västerås, Sweden

Funding

The research leading to this paper has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 764785, FORA - Fog Computing for Robotics and Industrial Automation.

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Vasileios Karagiannis, Nitin Desai, Stefan Schulte, and Sasikumar Punnekkat. Addressing the Node Discovery Problem in Fog Computing. In 2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020). Open Access Series in Informatics (OASIcs), Volume 80, pp. 5:1-5:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/OASIcs.Fog-IoT.2020.5

Abstract

In recent years, the Internet of Things (IoT) has gained a lot of attention due to connecting various sensor devices with the cloud, in order to enable smart applications such as: smart traffic management, smart houses, and smart grids, among others. Due to the growing popularity of the IoT, the number of Internet-connected devices has increased significantly. As a result, these devices generate a huge amount of network traffic which may lead to bottlenecks, and eventually increase the communication latency with the cloud. To cope with such issues, a new computing paradigm has emerged, namely: fog computing. Fog computing enables computing that spans from the cloud to the edge of the network in order to distribute the computations of the IoT data, and to reduce the communication latency. However, fog computing is still in its infancy, and there are still related open problems. In this paper, we focus on the node discovery problem, i.e., how to add new compute nodes to a fog computing system. Moreover, we discuss how addressing this problem can have a positive impact on various aspects of fog computing, such as fault tolerance, resource heterogeneity, proximity awareness, and scalability. Finally, based on the experimental results that we produce by simulating various distributed compute nodes, we show how addressing the node discovery problem can improve the fault tolerance of a fog computing system.

Subject Classification

ACM Subject Classification
  • Computer systems organization → Cloud computing
  • Computer systems organization → Fault-tolerant network topologies
Keywords
  • Fog computing
  • Edge computing
  • Internet of Things
  • Node discovery
  • Fault tolerance

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