| Summary: | 博士 === 國立臺灣大學 === 資訊網路與多媒體研究所 === 105 === Flash-memory and Hard Disk Drives (HDDs) have almost dominated the whole spectrum of storage markets in the past decades. In order to further enable ultra-scale storage capacity for the coming big data era, various technologies are adopted in the designs of ultra-scale flash storage devices and huge-capacity HDDs. This dissertation investigates the emerging challenges when the storage systems are scaled up. We aim to enable new layer designs to resolve the observed challenges in a modular and cost-effective way, instead of further complicating the existing designs. In this dissertation, we first rethink the layer design of flash devices and propose a complete paradigm shift to re-configure physical flash chips of potentially massive parallelism into better “virtual chips,”'' so as to improve the data recoverability. Then, we investigate how to achieve good design scalability to facilitate the device development when the scale of flash devices keeps growing. We present a new layer design to improve the performance scalability for flash devices consisting of a large number of flash chips and many cores, without redesigning another new architecture. On the other hand, this dissertation also investigates the Shingled Magnetic Recording (SMR) technology, because SMR technology can effectively increase the areal density for the conventional HDDs. In particular, we presents a novel layer design to remedy the long latency behavior of the Host-Aware Shingled Magnetic Recording (HA-SMR) drive. Our design not only maintains the cost-effective model of the existing HA-SMR drives, but also integrates the computing and management resources of the host system to improve the drive performance when needed.
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