Dynamic voltage scaling algorithms for soft and hard real-time system
| dc.contributor.author | Hong, lue Ik | |
| dc.contributor.supervisor | Dr Wong Kiing Ing | |
| dc.date.accessioned | 2017-01-30T09:55:53Z | |
| dc.date.available | 2017-01-30T09:55:53Z | |
| dc.date.created | 2013-11-22T05:30:01Z | |
| dc.date.issued | 2012 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/940 | |
| dc.description.abstract |
Dynamic Voltage Scaling (DVS) has not been investigated completely for further minimizing the energy consumption of microprocessor and prolonging the operational life of real-time systems. In this dissertation, the workload prediction based DVS and the offline convex optimization based DVS for soft and hard real-time systems are investigated, respectively. The proposed algorithms of soft and hard real-time systems are implemented on a small scaled wireless sensor network (WSN) and a simulation model, respectively. | |
| dc.language | en | |
| dc.publisher | Curtin University | |
| dc.title | Dynamic voltage scaling algorithms for soft and hard real-time system | |
| dc.type | Thesis | |
| dcterms.educationLevel | MPhil | |
| curtin.department | School of Engineering | |
| curtin.accessStatus | Open access |