Publicaties
Challenges of modeling and simulating Internet of Things systems Universiteit Antwerpen
Introduction of deep neural network in hybrid WCET analysis Universiteit Antwerpen
Impact of software architecture on execution time Universiteit Antwerpen
Timing analysis is used to extract the timing properties of a system. Various timing analysis techniques and tools have been developed over the past decades. However, changes in hardware platform and software architecture introduced new challenges in timing analysis techniques. In our research, we aim to develop a hybrid approach to provide safe and precise timing analysis results. In this approach, we will divide the original code into smaller ...
Distributed uniform streaming framework Universiteit Antwerpen
The increase of Internet of Things devices and the rise of more computationally intense applications presents challenges for future Internet of Things architectures. We envision a future in which edge, fog, and cloud devices work together to execute future applications. Because the entire application cannot run on smaller edge or fog devices, we will need to split the application into smaller application components. These application components ...
COBRA-HPA Universiteit Antwerpen
The Worst-Case Execution Time (WCET) of a task is an important value in real-time systems. This metric is used by the scheduler in order to schedule all tasks before their deadlines. However, the code and hardware architecture have a significant impact on the execution time and thus the WCET. Therefore, different analysis methodologies exist to determine the WCET, each with their own advantages and/or disadvantages. In this paper, a hybrid ...
Cost-aware hybrid cloud scheduling of parameter sweep calculations using predictive algorithms Universiteit Antwerpen
This paper investigates various techniques for scheduling the costs of parameter sweep calculations efficiently in a hybrid cloud environment. The combination of both a private and a public cloud environment integrates the advantages of being cost effective and having virtually unlimited scaling capabilities at the same time. To make an accurate estimate for the required resources, multiple prediction techniques are discussed. The estimation can ...