4 Search Results for "Mundhenk, Philipp"


Document
Enabling Containerisation of Distributed Applications with Real-Time Constraints

Authors: Nasim Samimi, Luca Abeni, Daniel Casini, Mauro Marinoni, Twan Basten, Mitra Nasri, Marc Geilen, and Alessandro Biondi

Published in: LIPIcs, Volume 335, 37th Euromicro Conference on Real-Time Systems (ECRTS 2025)


Abstract
Containerisation is becoming a cornerstone of modern distributed systems, thanks to their lightweight virtualisation, high portability, and seamless integration with orchestration tools such as Kubernetes. The usage of containers has also gained traction in real-time cyber-physical systems, such as software-defined vehicles, which are characterised by strict timing requirements to ensure safety and performance. Nevertheless, ensuring real-time execution of co-located containers is challenging because of mutual interference due to the sharing of the same processing hardware. Existing parallel computing frameworks such as Ray and its Kubernetes-enabled variant, KubeRay, excel in distributed computation but lack support for scheduling policies that allow guaranteeing real-time timing constraints and CPU resource isolation between containers, such as the SCHED_DEADLINE policy of Linux. To fill this gap, this paper extends Ray to support real-time containers that leverage SCHED_DEADLINE. To this end, we propose KubeDeadline, a novel, modular Kubernetes extension to support SCHED_DEADLINE. We evaluate our approach through extensive experiments, using synthetic workloads and a case study based on the MobileNet and EfficientNet deep neural networks. Our evaluation shows that KubeDeadline ensures deadline compliance in all synthetic workloads, adds minimal deployment overhead (in the order of milliseconds), and achieves lower worst-case response times, up to 4 times lower, than vanilla Kubernetes under background interference.

Cite as

Nasim Samimi, Luca Abeni, Daniel Casini, Mauro Marinoni, Twan Basten, Mitra Nasri, Marc Geilen, and Alessandro Biondi. Enabling Containerisation of Distributed Applications with Real-Time Constraints. In 37th Euromicro Conference on Real-Time Systems (ECRTS 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 335, pp. 3:1-3:29, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)


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@InProceedings{samimi_et_al:LIPIcs.ECRTS.2025.3,
  author =	{Samimi, Nasim and Abeni, Luca and Casini, Daniel and Marinoni, Mauro and Basten, Twan and Nasri, Mitra and Geilen, Marc and Biondi, Alessandro},
  title =	{{Enabling Containerisation of Distributed Applications with Real-Time Constraints}},
  booktitle =	{37th Euromicro Conference on Real-Time Systems (ECRTS 2025)},
  pages =	{3:1--3:29},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-377-5},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{335},
  editor =	{Mancuso, Renato},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2025.3},
  URN =		{urn:nbn:de:0030-drops-235816},
  doi =		{10.4230/LIPIcs.ECRTS.2025.3},
  annote =	{Keywords: Kubernetes, real-time containers, SCHED\underlineDEADLINE, KubeRay}
}
Document
Introduction
Introduction to the Special Issue on Embedded Systems for Computer Vision

Authors: Samarjit Chakraborty and Qing Rao

Published in: LITES, Volume 8, Issue 1 (2022): Special Issue on Embedded Systems for Computer Vision. Leibniz Transactions on Embedded Systems, Volume 8, Issue 1


Abstract
We provide a broad overview of some of the current research directions at the intersection of embedded systems and computer vision, in addition to introducing the papers appearing in this special issue. Work at this intersection is steadily growing in importance, especially in the context of autonomous and cyber-physical systems design. Vision-based perception is almost a mandatory component in any autonomous system, but also adds myriad challenges like, how to efficiently implement vision processing algorithms on resource-constrained embedded architectures, and how to verify the functional and timing correctness of these algorithms. Computer vision is also crucial in implementing various smart functionality like security, e.g., using facial recognition, or monitoring events or traffic patterns. Some of these applications are reviewed in this introductory article. The remaining articles featured in this special issue dive into more depth on a few of them.

Cite as

LITES, Volume 8, Issue 1: Special Issue on Embedded Systems for Computer Vision, pp. 0:i-0:viii, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)


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@Article{chakraborty_et_al:LITES.8.1.0,
  author =	{Chakraborty, Samarjit and Rao, Qing},
  title =	{{Introduction to the Special Issue on Embedded Systems for Computer Vision}},
  journal =	{Leibniz Transactions on Embedded Systems},
  pages =	{00:1--00:8},
  ISSN =	{2199-2002},
  year =	{2022},
  volume =	{8},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LITES.8.1.0},
  URN =		{urn:nbn:de:0030-drops-192871},
  doi =		{10.4230/LITES.8.1.0},
  annote =	{Keywords: Embedded systems, Computer vision, Cyber-physical systems, Computer architecture}
}
Document
Towards a Reliable and Context-Based System Architecture for Autonomous Vehicles

Authors: Tobias Kain, Philipp Mundhenk, Julian-Steffen Müller, Hans Tompits, Maximilian Wesche, and Hendrik Decke

Published in: OASIcs, Volume 79, 2nd International Workshop on Autonomous Systems Design (ASD 2020)


Abstract
Full vehicle autonomy excludes a takeover by passengers in case a safety-critical application fails. Therefore, the system responsible for operating the autonomous vehicle has to detect and handle failures autonomously. Moreover, this system has to ensure the safety of the passengers, as well as the safety of other road users at any given time. Especially in the initial phase of autonomous vehicles, building up consumer confidence is essential. Therefore, in this regard, handling all failures by simply performing an emergency stop is not desirable. In this paper, we introduce an approach enabling a dynamic and safe reconfiguration of the autonomous driving system to handle occurring hardware and software failures. Since the requirements concerning safe reconfiguration actions are significantly affected by the current context the car is experiencing, the developed reconfiguration approach is sensitive to context changes. Our approach defines three interconnected layers, which are distinguished by their level of awareness. The top layer, referred to as the context layer, is responsible for observing the context. These context observations, in turn, imply a set of requirements, which constitute the input for the reconfiguration layer. The latter layer is required to determine reconfiguration actions, which are then executed by the architecture layer.

Cite as

Tobias Kain, Philipp Mundhenk, Julian-Steffen Müller, Hans Tompits, Maximilian Wesche, and Hendrik Decke. Towards a Reliable and Context-Based System Architecture for Autonomous Vehicles. In 2nd International Workshop on Autonomous Systems Design (ASD 2020). Open Access Series in Informatics (OASIcs), Volume 79, pp. 1:1-1:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)


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@InProceedings{kain_et_al:OASIcs.ASD.2020.1,
  author =	{Kain, Tobias and Mundhenk, Philipp and M\"{u}ller, Julian-Steffen and Tompits, Hans and Wesche, Maximilian and Decke, Hendrik},
  title =	{{Towards a Reliable and Context-Based System Architecture for Autonomous Vehicles}},
  booktitle =	{2nd International Workshop on Autonomous Systems Design (ASD 2020)},
  pages =	{1:1--1:7},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-141-2},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{79},
  editor =	{Steinhorst, Sebastian and Deshmukh, Jyotirmoy V.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ASD.2020.1},
  URN =		{urn:nbn:de:0030-drops-125956},
  doi =		{10.4230/OASIcs.ASD.2020.1},
  annote =	{Keywords: autonomous driving, fail-operational systems, context-based architecture, application placement, optimization, monitoring}
}
Document
Fusion: A Safe and Secure Software Platform for Autonomous Driving

Authors: Philipp Mundhenk, Enrique Parodi, and Roland Schabenberger

Published in: OASIcs, Volume 79, 2nd International Workshop on Autonomous Systems Design (ASD 2020)


Abstract
The vastly increasing amount of software in vehicles, its variability and complexity, as well as the computational requirements, especially for those built with autonomous driving in mind, require new approaches to the structure and integration of software. The traditional approaches of single-purpose embedded devices with integrated software are no longer a suitable choice. New architectures introduce general purpose compute devices, capable of high-performance computation, as well as high variability of software. Managing the increasing complexity, also at runtime, in a safe and secure manner, are open challenges. Solving these challenges is a high-complexity development and integration effort requiring design-time and runtime configuration, approaches to communication middleware, operating system configuration, such as task scheduling, monitoring, tight integration of security and safety, and, especially in the case of autonomous driving, concepts for dynamic adaption of the system to the situation, e.g., fail-operational concepts. We present Fusion, a next-generation software platform supporting the development of autonomous driving systems.

Cite as

Philipp Mundhenk, Enrique Parodi, and Roland Schabenberger. Fusion: A Safe and Secure Software Platform for Autonomous Driving. In 2nd International Workshop on Autonomous Systems Design (ASD 2020). Open Access Series in Informatics (OASIcs), Volume 79, pp. 2:1-2:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)


Copy BibTex To Clipboard

@InProceedings{mundhenk_et_al:OASIcs.ASD.2020.2,
  author =	{Mundhenk, Philipp and Parodi, Enrique and Schabenberger, Roland},
  title =	{{Fusion: A Safe and Secure Software Platform for Autonomous Driving}},
  booktitle =	{2nd International Workshop on Autonomous Systems Design (ASD 2020)},
  pages =	{2:1--2:6},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-141-2},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{79},
  editor =	{Steinhorst, Sebastian and Deshmukh, Jyotirmoy V.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ASD.2020.2},
  URN =		{urn:nbn:de:0030-drops-125969},
  doi =		{10.4230/OASIcs.ASD.2020.2},
  annote =	{Keywords: middleware, software platform, autonomous driving}
}
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