@inproceedings{2f56170a4eaf44e1ba3db597f77818fb,
title = "Towards power-efficient smartphones by energy-aware dynamic task scheduling",
abstract = "Smartphones are facing a grand challenge in extending their battery life to sustain an increasing level of processing demand while subject to miniaturized form factor. Dynamic Voltage Scaling (DVS) has emerged as a critical technique to leverage power management by lowering the supply voltage and frequency of processors. In this paper, based on the DVS technique, we propose a novel Energy-aware Dynamic Task Scheduling (EDTS) algorithm to minimize total energy consumption for smartphones while satisfying stringent time constraints for applications. This algorithm utilizes the results from a static scheduling algorithm and aggressively reduces energy consumptions on the fly. Experimental results indicate that the EDTS algorithm can significantly reduce energy consumption for smartphones, compared to the critical path scheduling method and the parallelism-based scheduling algorithm.",
keywords = "DVS, Smartphone, critical path, dynamic scheduling, real-time",
author = "Meikang Qiu and Zhi Chen and Yang, {Laurence T.} and Xiao Qin and Bin Wang",
year = "2012",
doi = "10.1109/HPCC.2012.214",
language = "English",
isbn = "9780769547497",
series = "Proceedings of the 14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012",
pages = "1466--1472",
booktitle = "Proceedings of the 14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012",
note = "14th IEEE International Conference on High Performance Computing and Communications, HPCC-2012 - 9th IEEE International Conference on Embedded Software and Systems, ICESS-2012 ; Conference date: 25-06-2012 Through 27-06-2012",
}
