首页> 外文期刊>Intelligent automation and soft computing >A NEW ADAPTIVE GREY DECISION-ENERGY AWARE MANAGEMENT SYSTEM BASED ON THE OPTIMAL-READ ONLY-WRITE BUFFER ARCHITECTURE FOR FLASH MEMORY IN EMBEDDED AND MOBILE DEVICES
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A NEW ADAPTIVE GREY DECISION-ENERGY AWARE MANAGEMENT SYSTEM BASED ON THE OPTIMAL-READ ONLY-WRITE BUFFER ARCHITECTURE FOR FLASH MEMORY IN EMBEDDED AND MOBILE DEVICES

机译:一种基于最优读取的仅写缓冲区结构的嵌入式和移动设备自适应灰色决策能量预警管理系统

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摘要

It is generally accepted that the trends in ubiquitous and pervasive computing are rapidly increasing the diversity and heterogeneity of wireless technologies and their constituent devices. However, there are significant problems to overcome when integrating embedded and mobile devices into a ubiquitous and pervasive computing environment. One can consider that flash memory is an essential storage medium for embedded and mobile devices, because it is small, lightweight, nonvolatile, and vibration-resistant; and it has a high storage capacity. Lower energy consumption is an important consideration in the design, and one solution for reducing energy consumption is to include a buffer layer in a flash memory storage system. A buffer layer can let data be updated in situ, reduce energy consumption, and increase access performance. We developed an optimal-read only-write buffer architecture tailored to the properties of flash memory, since a traditional read/write buffer architecture is unsuitable for flash memory. Further, we propose an adaptive grey decision policy for considering temporal and spatial localities to obtain better results. Our proposed method shows that the number of flash memory write operations to reduce energy consumption is decreased from 15% to 35% compared to the least recently used and flash-aware buffer policies based on the optimal-read only-write buffer architecture.
机译:人们普遍认为,普适计算和普适计算的趋势正在迅速增加无线技术及其组成设备的多样性和异构性。但是,将嵌入式和移动设备集成到无处不在的无处不在的计算环境中时,有许多重要的问题需要克服。人们可以认为闪存是嵌入式和移动设备必不可少的存储介质,因为它体积小,重量轻,非易失性强并且抗振动。并且具有很高的存储容量。降低能耗是设计中的重要考虑因素,一种降低能耗的解决方案是在闪存存储系统中包括缓冲层。缓冲层可以让数据就地更新,减少能耗并提高访问性能。由于传统的读/写缓冲区体系结构不适用于闪存,因此我们开发了适合闪存特性的最佳只读写缓冲区体系结构。此外,我们提出了一种考虑时间和空间位置的自适应灰色决策策略,以获得更好的结果。我们提出的方法表明,与基于最佳只读缓存器架构的最不常用和具有闪存感知能力的缓存策略相比,减少能耗的闪存写入操作次数从15%减少至35%。

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