OASIcs.Fog-IoT.2020.12.pdf
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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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Volume:
2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020)
Series: Open Access Series in Informatics (OASIcs)
Conference: Workshop on Fog Computing and the IoT (Fog-IoT) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2020-04-08
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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
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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