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A Framework for Scheduling and Analysis of Real-Time Applications without the use of Worst-Case Execution Times
| Content Provider | Semantic Scholar |
|---|---|
| Author | Smeden, Frank Van |
| Copyright Year | 2015 |
| Abstract | In today’s modern real-time embedded systems, there is a huge demand for high performance. Especially in the world of multimedia systems and streaming applications. While we see that multiprocessor architectures are becoming more common, we also see that scheduling these hard real-time tasks is hard. Often these schedules are not optimized for high throughput due to the guarantee of system stability, which means the system should always respond correctly in the correct time frame. In this thesis we explore the effect of optimizing the schedule of a hard real-time system by reducing estimations based on the worst possible execution time. We also present a framework for: A) optimizing throughput for a multiple predefined types of applications and B) analysis of schedules running on both a simulator and a hardware platform. In the end we conclude that our proposed optimization could be used to potentially increase throughput for various types of applications. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://liacs.leidenuniv.nl/assets/Masterscripties/CS-studiejaar-2014-2015/FrankvanSmeden.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
