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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/77498


    Title: 應用在邊緣計算的嵌入式磁碟陣列設計與實作;Embedded RAID system applied to edge computing: design and implementation
    Authors: 吳敬賢;Wu, Ching-Hsien
    Contributors: 資訊工程學系在職專班
    Keywords: 資料可靠性;備份響應時間;邊緣計算;硬體加速器;磁碟陣列;Data reliability;Backup response time;Edge Computing;Hardware Accelerator;RAID
    Date: 2018-06-25
    Issue Date: 2018-08-31 14:46:01 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 微控制器的應用領域廣泛,對於使用在高可靠性的控制系統中,往往會造成其應用上的限制。備份技術是最有效提高系統可靠性的方法之一。在物聯網應用,資料以雲中心來備份,但備份資料時易受網路的不定因素所影響,難以達到可靠、即時的資料蒐集目標。本研究提出一個創新的嵌入式資料備份系統架構,結合微控制器和FPGA硬體加速器,實現一個本地端儲存的嵌入式資料備份系統。藉由分散式,資料讀寫硬體加速設計,此磁碟陣列系統可以有效地備份即時資料與還原部分受損資料。本研究提出的嵌入式磁碟陣列系統與現有的雲中心備份方法進行比較,在資料可靠性、備份響應時間均有明顯改善,可滿足邊緣計算平台的嵌入式儲存需求。;Although micro control units have been widely applied to various areas, they tend to cause highly reliable control systems to be subject to application constraints. When applied to Internet of Things applications, backup technology, one of the most effective approaches for enhancing system reliability, enables backup data to be stored in a cloud center. However, this backup method is easily affected by the uncertainty of the Internet and therefore is unlikely to achieve reliable and real-time data collection. This study proposed an innovative, embedded system architecture for data backup, which serves as a local repository system for data backup purposes through the integration of micro control units and field programmable gate array-based hardware accelerators. The distributed system infrastructure features a hardware acceleration design for data reading and writing functions. Using this design, the redundant array of independent disks (RAID) system can effectively and simultaneously back up data and recover partially damaged data. A comparison of the proposed embedded RAID system and an existing cloud-based data backup technique revealed that the proposed system considerably improved data reliability and backup response time and can satisfy the need for embedded storage of an edge computing platform.
    Appears in Collections:[Executive Master of Computer Science and Information Engineering] Electronic Thesis & Dissertation

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