Can holographic optical storage displace Hard Disk Drives?

Jiaqi Chu, Nathanaël Cheriere, Grace Brennan, Mengyang Yang, Greg O’Shea, Jannes Gladrow, Douglas J. Kelly, Giorgio Maltese, Alan Sanders, Dushyanth Narayanan, Benn Thomsen, Antony Rowstron
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Abstract

Cloud data workloads require both high capacity at low cost and high access rates. Hard Disk Drives are the dominant media in this application as they are low cost, however, Hard Disk Drive technology is seeing declining access rates and a slowdown in capacity scaling. Holographic data storage could disrupt Hard Disk Drives in the cloud since it may offer both high capacity and access rates. However, a challenge with rewritable holographic media is the data durability due to erasure. Here we present a media and workload aware energy optimization framework and show that erasure can be managed. We investigated the optimal Fe concentrations in iron-doped lithium niobate with experimental results supporting a stretched-exponential erasure model. We achieved a record number of reads, and surpassed the previous record for density. Our approach provides an objective assessment the feasibility of such storage technology given component parameters and material properties. Chu and colleagues explore holographic data storage as a replacement for hard disk drives, introducing an energy optimization framework for Fe concentrations in iron-doped lithium niobate. Their approach results in a record-breaking performance in both read and density.

Abstract Image

全息光存储能否取代硬盘驱动器?
云数据工作负载需要低成本的大容量和高访问率。硬盘驱动器是这种应用中的主流媒体,因为它们成本低,但是,硬盘驱动器技术的访问率正在下降,容量扩展也在放缓。全息数据存储可能会颠覆云计算中的硬盘驱动器,因为它可能同时提供高容量和高访问率。然而,可重写全息介质面临的一个挑战是擦除导致的数据耐久性问题。在此,我们提出了一个介质和工作负载感知能量优化框架,并证明擦除是可以管理的。我们研究了掺铁铌酸锂中的最佳铁浓度,实验结果支持拉伸-指数擦除模型。我们实现了创纪录的读取次数,并超越了之前的密度记录。我们的方法客观地评估了在元件参数和材料特性条件下这种存储技术的可行性。Chu 及其同事探索了全息数据存储作为硬盘驱动器替代品的可能性,并引入了掺铁铌酸锂中铁浓度的能量优化框架。他们的方法在读取和密度方面都取得了破纪录的性能。
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