Andreas Kässens (M.Sc.)

Wissenschaftlicher Mitarbeiter

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Telefon

0511 762 19738

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E-mail

kaessens@sra.uni-hannover.de

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Adresse

Appelstraße 4
30167 Hannover

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Gebäude

3703

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Raum

Raum 132

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Appelstraße 4 Raum 132

Projects

AHA: Automated Hardware Abstraction in Operating-System Engineering (DFG: LO 1719/4-1)

Goal of AHA is to improve nonfunctional properties of system software by a very deep, but fully automated specialization of the application-hardware bridge represented by the operating system. We investigate, how alternative implementations that are mapped more directly to hardware features, can be generated from a concrete application and their actual interactions with the operating system.

Publications

2024

RTSJ Journal
Applied static analysis and specialization of cross-core syscalls for multi-core AUTOSAR OS

Gerion Entrup, Andreas Kässens, Björn Fiedler, Daniel LohmannReal-Time SystemsSpringer2024.
PDF 10.1007/s11241-024-09429-1 [BibTex]

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BibTex Entry

@article{entrup:24:rts,
author = {Gerion Entrup and Andreas Kässens and Björn Fiedler and Daniel Lohmann},
doi = {10.1007/s11241-024-09429-1},
entrysubtype = {Journal},
journaltitle = {Real-Time Systems},
month = {October},
publisher = {Springer},
title = {Applied static analysis and specialization of cross-core syscalls for multi-core {AUTOSAR OS}},
year = {2024},
}

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Teaching

Supervised Theses

Running Theses

Experimental Setup of an Active Magnetic Bearing for Real-Time Operating System Research

For optimization of RTOS, an experimental setup to prove the applicability for real world systems shall be built.

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Typ

Studienarbeit

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Status

laufend

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Supervisors

Andreas Kässens
Daniel Lohmann

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Project

AHA

AUTOSAR on Xen: Virtualized Real-Time Operating Systems with ARA

Complex embedded computing systems shift to partitioning multicore hardware e.g. using the Xen hypervisor. Our AUTOSAR implementation shall be extended to support execution on an hypervised ARMv8 system.

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Typ

Bachelorarbeit

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Status

reserviert

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Supervisors

Andreas Kässens
Daniel Lohmann

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Project

AHA

Development and Analysis of an AUTOSAR Real-Time Operating System on a Multicore RISC-V Hardware Platform

In previous work, an AUTOSAR-compatible real-time operating system was developed for RISC-V in QEMU. In this thesis, it shall be deployed on real RISC-V hardware like the BeagleV®-Fire so timing measurements for RTOS-specific optimizations can be executed.

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Typ

Bachelorarbeit

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Status

laufend

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Supervisors

Andreas Kässens
Daniel Lohmann

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Project

AHA

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Bearbeiter

Maurice Höppner

HyperSSE: Static Analysis of Real-Time Hypervisor Systems with ARA

Complex embedded computing systems shift to partitioning multicore hardware e.g. using the Xen hypervisor. The static analysis in ARA shall be extended to support analyzing basic synchronization mechanisms of such systems.

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Typ

Masterarbeit

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Status

reserviert

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Supervisors

Andreas Kässens
Daniel Lohmann

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Project

AHA

Finished Student Theses

Implementation of Optimized AUTOSAR Systems for RISC-V with ARA

Extending the AUTOSAR Synthesis in ARA to support multicore RISC-V targets

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Typ

Bachelorarbeit

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Status

abgeschlossen

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Supervisors

Andreas Kässens
Daniel Lohmann

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Project

AHA

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Bearbeiter

Arved Blöcker (abgegeben: 05. Aug 2024)

Controlling the Kite: Static Control-Flow System Analysis for Embedded Controllers with Zephyr RTOS in ARA

The ARA toolchain shall support the system-state enumeration for Zephyr-based embedded applications.

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Typ

Masterarbeit

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Status

abgeschlossen

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Supervisors

Andreas Kässens
Gerion Entrup
Daniel Lohmann

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Project

AHA

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Bearbeiter

Vitali Fendel (abgegeben: 03. Dec 2024)

RTOS of the Day: Performance Comparison and Analysis of Open Source Real-Time Operating Systems

For optimization of RTOS, we need a performance measurement baseline. RTOS-specific benchmarks like ThreadMetric can provide numbers on how some implementations are more or less suitable for time-critical applications.

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Typ

Bachelorarbeit

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Status

abgeschlossen

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Supervisors

Andreas Kässens
Daniel Lohmann

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Project

AHA

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Bearbeiter

Jan Heinemeyer (abgegeben: 14. Feb 2025)

Own Thesis

Synthesis of Optimized AUTOSAR Embedded Systems: Automated System-Call Specialization and Lock Elision on Multicore Applications as a Whole-System Approach

Implement and evaluate an AUTOSAR synthesis with Lock Elision [PDF]

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Typ

Masterarbeit

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Status

abgeschlossen

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Supervisors

Gerion Entrup
Daniel Lohmann

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Project

AHA

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Bearbeiter

Andreas Kässens (abgegeben: 14. Jun 2023)