2 Search Results for "Zhou, Zifan"

Document
DOI: 10.4230/LITES.9.1.1
Equivalence between the Urgency Based Shaper and Asynchronous Traffic Shaping in Time Sensitive Networking

Authors: Marc Boyer

Published in: LITES, Volume 9, Issue 1 (2024). Leibniz Transactions on Embedded Systems, Volume 9, Issue 1

Abstract
The Asynchronous Traffic Shaping (ATS) has been designed by the Time Sensitive Networking (TSN) group as a reshaping mechanism for real-time data flows, based on the initial proposition of the Urgency Based Shaper (UBS). Several studies have exhibited properties and limitations of this solution, but most of them are based on the model presented in the UBS definition [Specht and Samii, 2016], whereas the implementation described in the standard uses a different architecture and algorithm. This paper presents an equivalence proof between the model and the standard specification.
Cite as

Marc Boyer. Equivalence between the Urgency Based Shaper and Asynchronous Traffic Shaping in Time Sensitive Networking. In LITES, Volume 9, Issue 1 (2024). Leibniz Transactions on Embedded Systems, Volume 9, Issue 1, pp. 1:1-1:27, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{boyer:LITES.9.1.1,
  author =	{Boyer, Marc},
  title =	{{Equivalence between the Urgency Based Shaper and Asynchronous Traffic Shaping in Time Sensitive Networking}},
  journal =	{Leibniz Transactions on Embedded Systems},
  pages =	{1:1--1:27},
  ISSN =	{2199-2002},
  year =	{2024},
  volume =	{9},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LITES.9.1.1},
  URN =		{urn:nbn:de:0030-drops-198271},
  doi =		{10.4230/LITES.9.1.1},
  annote =	{Keywords: TSN, Time Sensitive Networking, ATS, Asynchronous Traffic Shaping, 802.1Qcr}
}
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)

Copy BibTex To Clipboard

@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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