The Journal of Korean Institute of Communications and Information Sciences (한국통신학회논문지)

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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An Improved Task Scheduling Algorithm for Efficient Dynamic Power Management in Real-Time Systems

실시간 시스템에서 효율적인 동적 전력 관리를 위한 태스크 스케줄링 알고리듬에 관한 연구

  • 이원규 (서강대학교 전자공학과 CAD & Embedded System 연구실) ;
  • 황선영 (서강대학교 전자공학과 CAD & Embedded System 연구실)
  • Published : 2006.04.01
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Abstract

Energy consumption is an important design parameter for battery-operated embedded systems. Dynamic power management is one of the most well-known low-power design techniques. This paper proposes an online realtime scheduling algorithm, which we call energy-aware realtime scheduling using slack stealing (EARSS). The proposed algorithm gives the highest priority to the task with the largest degree of device overlap when the slack time exists. Scheduling result enables an efficient power management by reducing the number of state transitions. Experimental results show that the proposed algorithm can save the energy by 23% on average compared to the DPM-enabled system scheduled by the EDF algorithm.

배터리로 동작하는 휴대용 임베디드 시스템에서 에너지 소모는 중요한 설계 파라미터이며, 동적 전력 관리는 잘 알려진 저전력 설계 기법중의 하나이다. 본 논문에서는 실시간 시스템에서 에너지를 고려한 태스크 스케줄링 알고리듬을 제안한다. 제안한 스케줄링 알고리듬은 시스템에 여유 시간이 존재할 경우 장치 중첩도가 높은 태스크가 우선적으로 수행되도록 스케줄링 하여 장치의 전력 상태 전환 횟수를 줄여준다. 전력 상태 전환 횟수가 줄어들 경우 상태 전환에 따른 전력 소모가 감소하고, 동적 전력 관리의 기회를 더욱 얻을 수 있다. 실험 결과 EDF 알고리듬으로 동작 하는 시스템에서 동적 전력 관리를 한 경우와 비교하였을 때 에너지 소모가 약 23% 감소하였다.

Keywords

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