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Detection of Fog Network Data Telemetry Using Data Plane Programming

Authors Zifan Zhou , Eder Ollora Zaballa , Michael Stübert Berger , Ying Yan



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Author Details

Zifan Zhou
  • DTU Fotonik, Technical University of Denmark, Lyngby, Denmark
Eder Ollora Zaballa
  • DTU Fotonik, Technical University of Denmark, Lyngby, Denmark
Michael Stübert Berger
  • DTU Fotonik, Technical University of Denmark, Lyngby, Denmark
Ying Yan
  • DTU Fotonik, Technical University of Denmark, Lyngby, Denmark

Cite AsGet BibTex

Zifan Zhou, Eder Ollora Zaballa, Michael Stübert Berger, and Ying Yan. Detection of Fog Network Data Telemetry Using Data Plane Programming. In 2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020). Open Access Series in Informatics (OASIcs), Volume 80, pp. 12:1-12:11, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2020)
https://doi.org/10.4230/OASIcs.Fog-IoT.2020.12

Abstract

Fog computing has been introduced to deliver Cloud-based services to the Internet of Things (IoT) devices. It locates geographically closer to IoT devices than Cloud networks and aims at offering latency-critical computation and storage to end-user applications. To leverage Fog computing for computational offloading from end-users, it is important to optimize resources in the Fog nodes dynamically. Provisioning requires knowledge of the current network state, thus, monitoring mechanisms play a significant role to conduct resource management in the network. To keep track of the state of devices, we use P4, a data-plane programming language, to describe data-plane abstraction of Fog network devices and collect telemetry without the intervention of the control plane or adding a big amount of overhead. In this paper, we propose a software-defined architecture with a programmable data plane for data telemetry detection that can be integrated into Fog network resource management. After the implementation of detecting data telemetry based on In-Band Network Telemetry (INT) within a Mininet simulation, we show the available features and preliminary Fog resource management based on the collected data telemetry and future telemetry-based traffic engineering possibilities.

Subject Classification

ACM Subject Classification
  • Networks → Programmable networks
Keywords
  • SDN
  • P4
  • P4Runtime
  • control planes
  • Fog
  • Edge

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References

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