A cellular automaton based approach for real time
| dc.contributor.author | Boutekkouk, Fateh | |
| dc.date.accessioned | 2022-04-27T02:55:23Z | |
| dc.date.available | 2022-04-27T02:55:23Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | Real Time Embedded Systems are becoming ubiquitous. Since these systems have autonomous batteries, their design must minimize power consumption in order to extend batteries life time. On the other hand, Cellular Automaton (CA) appears a good choice to simulate the future behavior of complex dynamic and parallel systems. Due to some intrinsic characteristics such as neighborhood and local transitions, CA can exhibit some complex behaviors. In this work, we apply CA to model the well known problem of Real time scheduling and eventually to optimize the power consumption of a Real time multicores embedded system with periodic tasks. CA algorithm is focused on the so-called technique: Dynamic Voltage Scaling (DVS). The proposed CA is a 2D grid. | ar |
| dc.identifier.uri | http://hdl.handle.net/123456789/12939 | |
| dc.language.iso | en | ar |
| dc.publisher | Springer | ar |
| dc.subject | Real time embedded systems | ar |
| dc.subject | Real time scheduling | ar |
| dc.subject | Cellular automata | ar |
| dc.subject | Power consumption | ar |
| dc.title | A cellular automaton based approach for real time | ar |
| dc.title.alternative | embedded systems scheduling problem resolution | ar |
| dc.type | Article | ar |
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