Abstract
As can be seen, a lot of research has been done for homogeneous platforms; comparatively, less has been done for heterogeneous platforms. As heterogeneous platforms are becoming more and more popular, energy-aware scheduling on heterogeneous platforms also needs further research focus. This chapter surveys existing works for energy-aware scheduling on heterogeneous platforms. It consists of three sections: frame-based tasks [26, 27], tasks with precedence constraints [29], and periodic tasks [30–33]. Actually, both [31] and [32] consider frame-based tasks and periodic tasks simultaneously; we put them under the category of periodic tasks. To the best of our knowledge, little has been done for energy-aware sporadic task scheduling on heterogeneous multiprocessor platforms.
| Original language | English |
|---|---|
| Title of host publication | SpringerBriefs in Computer Science |
| Publisher | Springer |
| Pages | 41-52 |
| Number of pages | 12 |
| Edition | 9781461452232 |
| DOIs | |
| State | Published - 2013 |
Publication series
| Name | SpringerBriefs in Computer Science |
|---|---|
| Number | 9781461452232 |
| Volume | 0 |
| ISSN (Print) | 2191-5768 |
| ISSN (Electronic) | 2191-5776 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Completion time
- Energy consumption
- Periodic task
- Schedule length
- Sporadic task
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