Energy-aware Scheduling on Multiprocessor PlatformsScheduling on Heterogeneous DVFS Multiprocessor Platforms
Energy-aware Scheduling on Multiprocessor Platforms: Scheduling on Heterogeneous DVFS...
Li, Dawei; Wu, Jie
2012-08-13 00:00:00
[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.]
http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.pnghttp://www.deepdyve.com/lp/springer-journals/energy-aware-scheduling-on-multiprocessor-platforms-scheduling-on-A9KK2eQHeB
Energy-aware Scheduling on Multiprocessor PlatformsScheduling on Heterogeneous DVFS Multiprocessor Platforms
[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.]
To get new article updates from a journal on your personalized homepage, please log in first, or sign up for a DeepDyve account if you don’t already have one.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.