Dynamic DAG scheduling on multiprocessor systems: Reliability, energy, and makespan

J Huang, R Li, X Jiao, Y Jiang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Multiprocessor systems are increasingly deployed in real-time applications, where reliability,
energy consumption, and makespan are often the main scheduling objectives. In this work …

reTSN: Resilient and efficient time-sensitive network for automotive in-vehicle communication

J Zou, X Dai, JA McDermid - IEEE Transactions on Computer …, 2022 - ieeexplore.ieee.org
Time-sensitive networking (TSN) is being widely investigated to provide Ethernet
capabilities for in-vehicle backbone communication. However, the gate control list (GCL), as …

Robust time-sensitive networking with delay bound analyses

G **e, X **ao, H Liu, R Li… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
There is a demand of high bandwidth in the emerging real-time applications, such as
autonomous vehicles, robotics, and industrial automation, where time-sensitive networking …

Trustful Model-Based Information Exchange in Collaborative Engineering

D Schmelter, JP Steghöfer, K Albers, M Ekman… - … Conference on Software …, 2023 - Springer
Automotive and aviation systems are undergoing a radical shift in their software and
hardware architectures, affecting the processes and communities used to design them. On a …

Methodical Approach for Centralization Evaluation of Modern Automotive E/E Architectures

L Mauser, S Wagner, P Ziegler - European Conference on Software …, 2022 - Springer
Centralization is considered as a key enabler to master the CPU-intensive features of the
modern car. The development and architecture change towards the next generation car is …

Safety-Aware, Timing-Predictable and Resource-Efficient Scheduling for Autonomous Systems

J Zou - 2023 - etheses.whiterose.ac.uk
Advanced driver-assistance (ADAS) and semi-autonomous systems represent the major
computing demands for road vehicles, which are complex and safety-critical with strict real …

[ΑΝΑΦΟΡΑ][C] Models of computation for energy-efficient time-aware distributed embedded systems