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A Novel Voltage Scaling Algorithm through Ant Colony Optimization for Embedded Distributed Systems

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3 Author(s)
Dan Ding ; Chinese Acad. of Sci., Beijing ; Lisheng Zhang ; Zheng Wei

Dynamic voltage scaling, supported by many DVS-enabled processors, is an efficient technique for energy-efficient embedded systems. Many researchers work on DVS and have presented various DVS algorithms, some with quite good results. However, the previous algorithms either have a large time complexity or obtain results sensitive to the count of the voltage modes. Fine-grained voltage modes lead to optimal results, but coarse-grained voltage modes cause less optimal one. This paper presents a new algorithm based on ant colony optimization, called ant colony optimization voltage and task scheduling (ACO-VTS) with a low time complexity implemented by parallelizing and its linear time approximation algorithm. Both of them generate quite good results, saving up to 30% more energy than one of the previous ones under coarse-grained modes, but their results don't depend on the number of modes available.

Published in:

Integration Technology, 2007. ICIT '07. IEEE International Conference on

Date of Conference:

20-24 March 2007