Intelligent storage for information retrieval

D. Du
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引用次数: 12

Abstract

The rapid development of Internet, the fast dropping of storage cost and the great improvement of storage capacity have created an environment with enormous amount of data. How to get the data we want and how to manage these huge volumes of data become great challenges. There are a number of existing approaches for solving these challenges including semantic Web, middleware, semantic multimedia information and databases. We are taking a different approach and believe that today's storage systems need to be fundamental changed to meet these challenges. In this paper, we first discuss the possible changes in storage systems. We then present the intelligence to be included in future storage systems. With the intelligence, a new architecture of storage systems can be formed. The essential concepts to be parts of the future storage systems include active storage, object-based storage, autonomic storage, and application-aware storage. We argue the object-based storage device (OSD) concept is the most fundamental. We discuss a number of research issues of intelligent storage.
用于信息检索的智能存储
互联网的快速发展,存储成本的快速下降,存储容量的巨大提升,创造了一个海量数据的环境。如何获取我们想要的数据以及如何管理这些海量的数据成为巨大的挑战。有许多现有的方法可以解决这些挑战,包括语义Web、中间件、语义多媒体信息和数据库。我们正在采取一种不同的方法,并相信今天的存储系统需要从根本上改变,以应对这些挑战。在本文中,我们首先讨论了存储系统可能发生的变化。然后,我们介绍了将包含在未来存储系统中的智能。借助智能,可以形成新的存储系统架构。未来存储系统的基本概念包括主动存储、基于对象的存储、自主存储和应用感知存储。我们认为基于对象的存储设备(OSD)概念是最基本的。讨论了智能存储的若干研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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