• Proceedings of the Korea Information Processing Society Conference
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• 2010.04a
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• pp.75-77
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• 2010

실시간 환경에서 저전력 설계의 효율적인 방법으로 동적 전압 조절 기법(Dynamic Voltage Scaling)이 있다. 동적 전압 조절 기법의 성능을 올리기 위하여 정확한 작업 시간의 예측이 필수적이며, 많은 예측 필터들이 이를 위하여 사용되었다. 하지만 각 예측 필터들은 여러 가지 다른 상황에 대하여 모두 적절하게 처리하는데 한계를 가지고 있다. 이 논문에서는 여러 가지 다른 예측필터들의 상황 별 성능을 분석하고 이를 바탕으로 동적으로 상황에 따라 예측 필터를 변화시키며 항상 최적의 성능을 가지는 새로운 예측 방법을 제안하였다. 또한 MPEG 환경에서의 시뮬레이션을 통하여 제안한 방법이 모든 상황에서 다른 예측 필터들에 비하여 높은 성능을 보이는 것을 확인할 수 있었다.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06b
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• pp.509-514
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• 2008

동적 전력 관리 기법은 임베디드 시스템과 같은 저전력성이 요구되는 시스템에서 널리 활용되고 있다. 동적 전력 관리 기법은 처리율과 소비전력 간의 상관 관계를 통해, 프로세서의 전압과 주기를 조절하여 소비 전력당 처리율을 높이는 기법이다. 이러한 동적 전압 관리 기법이 실시간 특성이 필요한 임베디드 시스템에 적용되는 경우, 실시간 스케줄러에 큰 영향을 끼치게 된다. 실시간 스케줄러에서는 주어진 임계 시간 이내에 작업의 수행을 마치기 위하여, 스케줄 가능성 테스트를 수행하여 적합한 작업들만을 실행하도록 한다. 하지만, 인터럽트 처리 등으로 인한 선점 가능성은 스케줄 가능성에 대한 분석을 복잡하게 만들고 있다. 본 논문에서는 인터럽트 처리를 고려한 실시간 스케줄링 분석 연구를 기반으로 하여, 동적 전력 관리가 추가된 경우의 영향을 분석하도록 한다. 동적 전력 관리로 인한 실시간 처리 요구 사항의 증가와 실제 적용 가능한 사례를 보인다.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.11
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• pp.1051-1055
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• 2010

Software defined radio(SDR) technology implements wireless communication protocols as software instead of dedicated hardware. SDR enables reconfiguration of wireless communication protocols without expensive hardware modification. However, as the SDR systems are equipped with additional programmable processors, they suffer significant power dissipation. This paper proposes a novel power management technique for SDR systems, called the combined modulation and voltage scaling (CMVS). Numerical analyses were performed to evaluate the effectiveness of CMVS. The results show that CMVS minimizes power dissipation while satisfying the given data transfer rate.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.12
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• pp.96-104
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• 2009

In the real system environments, the performance of the application is not linearly proportional to the clock frequency of the microprocessor, in contrast to the general assumption of conventional dynamic voltage scaling. In this paper, we analytically model the relation between the performance of the application and the clock frequency of the microprocessor, and introduce the energy-optimal scheduling algorithm for a task set with distinct application characteristics. In addition, we present a theorem for the energy-optimal scheduling, which the derivative of the energy consumption with respect to the execution time should be the same for all the tasks. The proposed scheduling algorithm always generates the energy-optimal scaling factor thanks to the theorem for energy-optimal scheduling. We achieved about 7% additional energy reduction in the experiments using synthetic task sets.

• Journal of KIISE:Computer Systems and Theory
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• v.30 no.12
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• pp.736-748
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• 2003

Dynamic voltage scaling(DVS), which adjusts the clock speed and supply voltage dynamically, is an effective technique in reducing the energy consumption of embedded real-time systems. The energy efficiency of a DVS algorithm largely depends on the performance of the slack estimation method used in it. In this paper, we propose novel DVS algorithms for periodic hard real-time tasks based on an improved slack estimation algorithm. Unlike the existing techniques, the proposed method can be applied to most priority-driven scheduling policies. Especially, we apply the proposed slack estimation method to EDF and RM scheduling policies. The experimental results show that the DVS algorithms using the proposed slack estimation method reduce the energy consumption by 20∼40 % over the existing DVS algorithms.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.10
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• pp.543-552
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• 2004

This paper proposes an energy optimization technique for latency and quality constrained video applications. It consists of two key techniques: frame-skipping technique and buffering technique. While buffering increases the slack time utilization at the OS level. frame skipping Increases the slack time itself at the application level, and both enhance the effectiveness of the dynamic voltage scaling technique. We use an H.263 encoder application as a test vehicle to which the proposed technique is applied. Experiments demonstrate that the proposed technique achieves noticeable energy reduction satisfying the given latency and video quality constraints.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.24 no.8 s.207
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• pp.61-69
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• 2006

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.44 no.2
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• pp.95-103
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• 2007

Dynamic voltage scaling (DVS) is a well-known and effective power management technique. While there has been research on slack distribution, voltage allocation and other aspects of DVS, its effects on non-voltage-scalable devices has hardly been considered. A DC-DC converter plays an important role in voltage generation and regulation in most embedded systems, and is an essential component in DVS-enabled systems that scale supply voltage dynamically. We introduce a power consumption model of DC-DC converters and analyze the energy consumption of the system including the DC-DC converter. We propose an energy-optimal off-line DVS scheduling algorithm for systems with DC-DC converters, and show experimentally that our algorithm outperforms existing DVS algorithms in terms of energy consumption.

• Journal of Korea Multimedia Society
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• v.11 no.5
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• pp.641-650
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• 2008

As portable devices are used widely, power management algorithm is essential to extend battery use time on small-sized battery power. Although many methods have been proposed, they assumed the voltage transition overhead was negligible or was considered partially. However, the voltage transition overhead might not guarantee to schedule real-time tasks in portable multimedia systems. This paper proposes the adaptive power-aware algorithm to minimize the power consumption by considering the voltage transition overhead. It selects only a few discrete frequencies from the whole frequencies of a system and adjusts the interval between two consecutive frequencies based on the system utilization to reduce the number of frequency change. This algorithm saves the power consumption about 10 to 25 percent compared to a CC RT-DVS method and a frequency-smoothing method.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.11
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• pp.517-526
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• 2008

As the functionality of portable devices arc being enhanced and the performance is being greatly improved, power dissipations of battery driven portable devices are being increased. So, an efficient power management for reducing their power consumption is needed. In this paper, we propose a window-based DVS algorithm for MPEG Player. The proposed algorithm maintains the recently frame information and execution time received from MPEG player in window queue and dynamically adjusts (frequency, voltage) level based on window queue information. Our algorithm can be implemented in the common multimedia player as a module. We employed well-known MPlayer for the measurement of performance. The experimental result shows that the proposed algorithm reduces energy consumption by 56% on maximal performance.