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http://dx.doi.org/10.9717/kmms.2016.19.7.1179

Quantitative Analysis of Power Consumption for Low Power Embedded System by Types of Memory in Program Execution  

Choi, Hayeon (Dept. of Computer Science and Engineering, Ewha Womans University)
Koo, Youngkyoung (Dept. of Computer Science and Engineering, Ewha Womans University)
Park, Sangsoo (Dept. of Computer Science and Engineering, Ewha Womans University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.7, 2016 , pp. 1179-1187 More about this Journal
Abstract
Through the rapid development of latest hardware technology, high performance as well as miniaturized size is the essentials of embedded system to meet various requirements from the society. It raises possibilities of genuine realization of IoT environment whose size and battery must be considered. However, the limitation of battery persistency and capacity restricts the long battery life time for guaranteeing real-time system. To maximize battery life time, low power technology which lowers the power consumption should be highly required. Previous researches mostly highlighted improving one single type of memory to increase ones efficiency. In this paper, reversely, considering multiple memories to optimize whole memory system is the following step for the efficient low power embedded system. Regarding to that fact, this paper suggests the study of volatile memory, whose capacity is relatively smaller but much low-powered, and non-volatile memory, which do not consume any standby power to keep data, to maximize the efficiency of the system. By executing function in specific memories, non-volatile and volatile memory, the quantitative analysis of power consumption is progressed. In spite of the opportunity cost of all of theses extra works to locate function in volatile memory, higher efficiencies of both power and energy are clearly identified compared to operating single non-volatile memory.
Keywords
Low Power; Embedded System; Power Consumption; Flash Memory; SRAM;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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