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Principles of Optimally Placing Data in Tertiary Storage Libraries

机译:在第三级存储库中最佳放置数据的原理

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Recently, technological advances have resulted in the wide availability of commercial products offering near-line, robot-based, tertiary storage libraries. Thus, such libraries have become a crucial component of modern large-scale storage servers, given the very large storage requirements of modern applications. Although the subject of optimal data placement (ODP) strategies has received considerable attention for other storage devices (such as magnetic and optical disks and disk arrays), the issue of optimal data placement in tertiary libraries has been neglected. The latter issue is more critical since tertiary storage remains three orders of magnitude slower than secondary storage. In this paper, we address this issue by deriving such optimal placement algorithms. First, we study the ODP problem in disk libraries (jukeboxes) and subsequently, in tape libraries. In our studies, we consider different scheduling algorithms, different configurations of disk libraries and different tape library technologies (reflecting different existing commercial products) and show how these impact on the ODP strategy.
机译:最近,技术的进步导致商业产品的广泛可用性,这些商业产品提供了基于机器人的近线三级存储库。因此,考虑到现代应用程序非常大的存储需求,此类库已成为现代大规模存储服务器的重要组成部分。尽管最佳数据放置(ODP)策略的主题已在其他存储设备(例如磁盘,光盘和磁盘阵列)中引起了相当大的关注,但在三级库中最佳数据放置的问题已被忽略。后一个问题更为关键,因为第三级存储的速度比第二级存储慢了三个数量级。在本文中,我们通过推导此类最佳放置算法来解决此问题。首先,我们在磁盘库(自动存储塔)中研究ODP问题,然后在磁带库中研究。在我们的研究中,我们考虑了不同的调度算法,磁盘库的不同配置和不同的磁带库技术(反映了不同的现有商业产品),并说明了这些因素如何影响ODP策略。

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