License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.Fog-IoT.2020.12
URN: urn:nbn:de:0030-drops-120062
Go to the corresponding OASIcs Volume Portal

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

Detection of Fog Network Data Telemetry Using Data Plane Programming

OASIcs-Fog-IoT-2020-12.pdf (3 MB)


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.

BibTeX - Entry

  author =	{Zifan Zhou and Eder Ollora Zaballa and Michael St{\"u}bert Berger and Ying Yan},
  title =	{{Detection of Fog Network Data Telemetry Using Data Plane Programming}},
  booktitle =	{2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020)},
  pages =	{12:1--12:11},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-144-3},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{80},
  editor =	{Anton Cervin and Yang Yang},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-120062},
  doi =		{10.4230/OASIcs.Fog-IoT.2020.12},
  annote =	{Keywords: SDN, P4, P4Runtime, control planes, Fog, Edge}

Keywords: SDN, P4, P4Runtime, control planes, Fog, Edge
Collection: 2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020)
Issue Date: 2020
Date of publication: 08.04.2020

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI