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| Content Provider | ACM Digital Library |
|---|---|
| Author | Bordoloi, Unmesh D. Tanasa, Bogdan Eles, Petru Peng, Zebo |
| Copyright Year | 2016 |
| Abstract | We propose an analytical framework for probabilistic timing analysis of the event-triggered Dynamic segment of the FlexRay communication protocol. Specifically, our framework computes the Deadline Miss Ratio of each message. The core problem is formulated as a Mixed Integer Linear Program (MILP). Given the intractability of the problem, we also propose several techniques that help to mitigate the running times of our tool. This includes the re-engineering of the problem to run it on GPUs as well as reformulating the MILP itself. Most importantly, we also show how our framework can handle correlations between the queuing events of messages. This is challenging because one cannot apply the convolution operator in the same way as in the case of independent queuing events. |
| Starting Page | 1 |
| Ending Page | 31 |
| Page Count | 31 |
| File Format | |
| ISSN | 15399087 |
| e-ISSN | 15583465 |
| DOI | 10.1145/2870635 |
| Volume Number | 15 |
| Issue Number | 3 |
| Journal | ACM Transactions on Embedded Computing Systems (TECS) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2016-05-23 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Automotive networks Correlations Deadline miss ratio Dynamic segment Flexray Probabilistic analysis Timing analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Hardware and Architecture Software |
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