End-to-end timing analysis of sporadic cause-effect chains in distributed systems
A cause-effect chain is used to define the logical order of data dependent tasks, which is
independent from the execution order of the jobs of the (periodic/sporadic) tasks. Analyzing …
independent from the execution order of the jobs of the (periodic/sporadic) tasks. Analyzing …
DAG Scheduling with Execution Groups
In many modern safety-critical cyber-physical sys-tems, such as in the automotive or robotic
domain, the appli-cation complexity requires the use of multi-core platforms to execute all …
domain, the appli-cation complexity requires the use of multi-core platforms to execute all …
[图书][B] Machine learning under resource constraints
Machine learning under resource constraints Katharina Morik, Peter Marwedel (Eds.) Machine
Learning under Resource Constraints· Fundamentals Page 2 Also of interest Volume 2 …
Learning under Resource Constraints· Fundamentals Page 2 Also of interest Volume 2 …
Comparing communication paradigms in cause-effect chains
A cause-effect chain is a sequence of multi-rate real-time tasks with data dependency.
Cause-effect chains are generally subject to end-to-end timing constraints, especially in …
Cause-effect chains are generally subject to end-to-end timing constraints, especially in …
Fine-grained vehicle recognition using lightweight convolutional neural network with combined learning strategy
Q Zhang, L Zhuo, S Zhang, J Li… - 2018 IEEE Fourth …, 2018 - ieeexplore.ieee.org
Fine-grained vehicle recognition plays an important part in applications, such as urban traffic
management, public security, and criminal investigation. It has great challenges due to the …
management, public security, and criminal investigation. It has great challenges due to the …
On the trade-offs between generalization and specialization in real-time systems
While academia favours general research that is applicable to a large class of systems, this
paper highlights the necessity of research into specific scenarios and aims to increase its …
paper highlights the necessity of research into specific scenarios and aims to increase its …
Scheduling self-suspending tasks: New and old results
In computing systems, a job may suspend itself (before it finishes its execution) when it has
to wait for certain results from other (usually external) activities. For real-time systems, such …
to wait for certain results from other (usually external) activities. For real-time systems, such …
Timing Analysis of Cause-Effect Chains with Heterogeneous Communication Mechanisms
Software applications in automotive systems are comprised of communicating real-time
tasks, described by cause-effect chains. To guarantee functional correctness, it is mandatory …
tasks, described by cause-effect chains. To guarantee functional correctness, it is mandatory …
Optimizing End-to-End Latency of Sporadic Cause-Effect Chains Using Priority Inheritance
Analysis and optimization of end-to-end latency in cause-effect chains is an important
problem in real-time systems. Under task-level fixed-priority scheduling, the end-to-end …
problem in real-time systems. Under task-level fixed-priority scheduling, the end-to-end …
Eliminating Timing Anomalies in Scheduling Periodic Segmented Self-Suspending Tasks with Release Jitter
Ensuring timing guarantees for every individual tasks is critical in real-time systems. Even for
periodic tasks, providing timing guarantees for tasks with segmented self-suspending …
periodic tasks, providing timing guarantees for tasks with segmented self-suspending …