Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Energy-aware Dynamic Frequency Scaling Algorithm for Polling based Communication Systems

폴링기반 통신 시스템을 위한 에너지 인지적인 동적 주파수 조절 알고리즘

  • Cho, Mingi (School of Electronic Engineering, DGIST) ;
  • Park, Daejin (School of Electronic Engineering, Kyungpook National University)
  • Received : 2022.08.07
  • Accepted : 2022.08.26
  • Published : 2022.09.30
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Abstract

Power management is still an important issue in embedded environments as hardware advances like high-performance processors. Power management methods such as DVFS control CPU frequencies in an adaptive manner for efficient power management in polling-based I/O programs such as network communication. This paper presents the problems of the existing power management method and proposes a new power management method. Through this, it is possible to reduce electric consumption by increasing the polling cycle in situations where the frequency of data reception is low, and on the contrary, in situations where data reception is frequent, it can operate at the maximum frequency without performance degradation. After implementing this as a code layer on the embedded board and observing it through Atmel's Power Debugger, the proposed method showed a performance improvement of up to 30% in energy consumption compared to the existing power management method.

고성능 프로세서와 같은 하드웨어의 발전이 계속됨에 따라 임베디드 환경에서 전력관리는 여전히 중요한 문제이다. DVFS와 같은 전력관리방식은 네트워크 통신과 같은 폴링 기반의 입출력 프로그램에서 효율적인 전력관리를 위해 적응형 방식으로 CPU 주파수를 조절한다. 본 논문에서는 기존 전력관리방식에서의 문제점을 제시하고 새로운 전력관리 방식을 제안한다. 이를 통해 데이터 수신의 빈도가 낮은 상황에서는 폴링 주기를 늘려 전력소모를 줄일 수 있고, 반대로 데이터 수신이 빈번한 상황에서는 최대주파수로 동작하여 성능저하없이 동작 할 수 있다. 이를 임베디드 보드상에 코드계층으로 구현하고 Atmel사의 Power Debugger를 통해 실험 관찰한 결과 제안한 방식은 기존의 전력관리방식과 비교하여 전력소모에서 최대 30%의 성능향상을 보였다.

Keywords

Acknowledgement

This study was supported by the BK21 FOUR project funded by the Ministry of Education, Korea (4199990113966), and the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2018R1A6A1A03025109, 10%, NRF-2022R1I1A3069260, 20%) and by Ministry of Science and ICT (2020M3H2A1078119). This work was partly supported by an Institute of Information and communications Technology Planning and Evaluation (IITP) grant funded by the Korean government (MSIT) (No. 2021-0-00944, Metamorphic approach of unstructured validation/verification for analyzing binary code, 40%) and (No. 2022-0-00816, OpenAPI-based hw/sw platformfor edge devices and cloud server, integrated with the on-demand code streaming engine powered by AI, 20%) and (No. 2022-0-01170, PIM Semiconductor Design Research Center, 10%).

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