상세정보
학술대회
Experimental Analysis on Time-Triggered Power Consumption Measurement with DVS-Enabled Multiple Power Domain Platform
- 발행일
- 200705
- 출처
- International Workshop on Software Technologies for Embedded and Ubiquitous Systems (SEUS) 2007 (LNCS 4761), v.4761, pp.149-158
- 협약과제
- 06MW2100, 모바일 컨버전스 컴퓨팅을 위한 단말적응형 임베디드 운영체제 기술개발, 김흥남
- 초록
- Recently, the battery and low-power H/W technologies for mobile and wearable computing devices have been advanced rapidly. But on the other hand the computation and communication demands of the embedded applications are increasing more rapidly. Therefore, the application developers are still required to develop their codes to utilize the available energy as efficient as possible. The provision of software power measurement with reasonable accuracy, consistency and low overhead is an indispensable factor for software power engineering. In this paper, we present a time-triggered mechanism for providing energy consumption profiles in the level of C functions. The similar mechanisms have already been introduced at the previous researches such as PowerScope and ePRO. Instead, we, in this paper, introduce our efforts to extend these researches to incorporate power domains and DVS(Dynamic Voltage Scaling), then interpret these mechanisms as the view of time-triggered approach for better understanding to the relationships among timer interrupt, context switching, DAQ triggering, multi-channel DAQ delay, and etc. From our experimental results, we could conclude that the timetriggered approach for the function level energy measurement properly worked with low overheads and produced consistent energy consumption profiles on the DVS-applied program codes running upon the platforms supporting multiple power domains. © IFIP International Federation for Information Processing 2007.
- KSP 제안 키워드
- Applied program, Available energy, Communication demands, Consumption profiles, Dynamic voltage scaling, Embedded applications, Energy Measurement, International federation, Low-Power, Mobile and wearable computing, Multiple power domains