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Documents authored by Ollora Zaballa, Eder

Document
DOI: 10.4230/OASIcs.Fog-IoT.2020.9
Next-Generation SDN and Fog Computing: A New Paradigm for SDN-Based Edge Computing

Authors: Eder Ollora Zaballa, David Franco, Marina Aguado, and Michael Stübert Berger

Published in: OASIcs, Volume 80, 2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020)

Abstract
In the last few years, we have been able to see how terms like Mobile Edge Computing, Cloudlets, and Fog computing have arisen as concepts that reach a level of popularity to express computing towards network Edge. Shifting some processing tasks from the Cloud to the Edge brings challenges to the table that might have been non-considered before in next-generation Software-Defined Networking (SDN). Efficient routing mechanisms, Edge Computing, and SDN applications are challenging to deploy as controllers are expected to have different distributions. In particular, with the advances of SDN and the P4 language, there are new opportunities and challenges that next-generation SDN has for Fog computing. The development of new pipelines along with the progress regarding control-to-data plane programming protocols can also promote data and control plane function offloading. We propose a new mechanism of deploying SDN control planes both locally and remotely to attend different challenges. We encourage researchers to develop new ways to functionally deploying Fog and Cloud control planes that let cross-layer planes interact by deploying specific control and data plane applications. With our proposal, the control and data plane distribution can provide a lower response time for locally deployed applications (local control plane). Besides, it can still be beneficial for a centralized and remotely placed control plane, for applications such as path computation within the same network and between separated networks (remote control plane).
Cite as

Eder Ollora Zaballa, David Franco, Marina Aguado, and Michael Stübert Berger. Next-Generation SDN and Fog Computing: A New Paradigm for SDN-Based Edge Computing. In 2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020). Open Access Series in Informatics (OASIcs), Volume 80, pp. 9:1-9:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{ollorazaballa_et_al:OASIcs.Fog-IoT.2020.9,
  author =	{Ollora Zaballa, Eder and Franco, David and Aguado, Marina and Berger, Michael St\"{u}bert},
  title =	{{Next-Generation SDN and Fog Computing: A New Paradigm for SDN-Based Edge Computing}},
  booktitle =	{2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020)},
  pages =	{9:1--9:8},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-144-3},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{80},
  editor =	{Cervin, Anton and Yang, Yang},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.Fog-IoT.2020.9},
  URN =		{urn:nbn:de:0030-drops-120033},
  doi =		{10.4230/OASIcs.Fog-IoT.2020.9},
  annote =	{Keywords: SDN, P4, P4Runtime, control planes, Fog, Edge}
}
Document
DOI: 10.4230/OASIcs.Fog-IoT.2020.12
Detection of Fog Network Data Telemetry Using Data Plane Programming

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

Published in: OASIcs, Volume 80, 2nd Workshop on Fog Computing and the IoT (Fog-IoT 2020)

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.
Cite as

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)

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@InProceedings{zhou_et_al:OASIcs.Fog-IoT.2020.12,
  author =	{Zhou, Zifan and Ollora Zaballa, Eder and Berger, Michael St\"{u}bert and Yan, Ying},
  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 =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-144-3},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{80},
  editor =	{Cervin, Anton and Yang, Yang},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.Fog-IoT.2020.12},
  URN =		{urn:nbn:de:0030-drops-120062},
  doi =		{10.4230/OASIcs.Fog-IoT.2020.12},
  annote =	{Keywords: SDN, P4, P4Runtime, control planes, Fog, Edge}
}
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