Name
Title | ||
|---|---|---|
Combining Automated Measurement-Based Cost Modeling with Static Worst-Case Execution-Time and Energy-Consumption Analyses |
Abstract | ||
|---|---|---|
Predicting the temporal behavior of embedded realtime systems is a crucial but challenging task, as it is with the energetic behavior of energy-constrained systems, such as IoT devices. To carry out static analyses in order to determine the worst-case execution time or the worst-case energy consumption of tasks, cost models are inevitable. However, these models are rarely available on a fine-grain... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/LES.2018.2868823 | IEEE Embedded Systems Letters |
Keywords | Field | DocType |
Benchmark testing,Analytical models,Mathematical model,Time measurement,Energy consumption,Energy measurement,Tools | Embedded hardware,Worst-case execution time,Virtual machine,Computer science,Internet of Things,Real-time computing,Exploit,Execution time,Energy consumption,Toolchain,Embedded system | Journal |
Volume | Issue | ISSN |
11 | 2 | 1943-0663 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Volkmar Sieh | 1 | 127 | 17.00 |
| Robert Burlacu | 2 | 0 | 0.34 |
| Timo Hönig | 3 | 61 | 14.57 |
| Heiko Janker | 4 | 32 | 3.27 |
| Phillip Raffeck | 5 | 1 | 1.70 |
| Peter Wägemann | 6 | 4 | 4.24 |