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Techniques for integrating tertiary storage with object-relational database management systems.

机译:将第三级存储与对象关系数据库管理系统集成的技术。

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摘要

The increasing popularity of incorporating new and complicated data types into database systems has prompted the rapid development of object-relational database technology over the past few years. One of the most important features of an object-relational database system is the ability of such systems to store and manipulate large, less-structured multimedia data types including images, text, video and audio. Instances of these data types are typically hundreds of thousands times larger than the traditional fields in a relational table. Consequently, databases that contain instances of these data types tend to be much larger than normal. This increase in database size makes the use of low-cost, high-capacity tertiary storage devices as an alternative storage medium attractive. However, most existing DBMS can only process data stored on conventional secondary storage devices and treat tapes primarily as backup or archive devices since their random access times are very long compared to disks.; This thesis presents a set of techniques designed for the seamless integration of tape-based tertiary storage devices into an object-relational database system for storing and manipulating large objects. These techniques are centered on the simple, yet powerful, idea of query pre-execution. Query pre-execution is designed to gather accurate run-time access patterns for tertiary storage accesses so that these accesses can be optimized in order to reduce the number of random accesses performed during query execution. Practical issues such as large-object representation, tertiary block size selection, tertiary storage access scheduling, batch query execution, and tertiary storage volume management are investigated as part of this thesis. The thesis also describes the design and implementation of these techniques in Paradise, a parallel object-relational database system designed to efficiently process a variety of new data types including spatial data, satellite imagery, video, and text. A performance evaluation of these proposed techniques is included in the thesis to demonstrate their effectiveness.
机译:在过去的几年中,将新的和复杂的数据类型合并到数据库系统中的日益普及促使对象关系数据库技术迅速发展。对象关系数据库系统最重要的功能之一就是这种系统能够存储和处理结构化程度较低的大型多媒体数据类型,包括图像,文本,视频和音频。这些数据类型的实例通常比关系表中的传统字段大数十万倍。因此,包含这些数据类型实例的数据库往往比普通数据库大得多。数据库大小的增加使得使用低成本,高容量的第三存储设备作为替代存储介质具有吸引力。但是,大多数现有的DBMS只能处理存储在常规辅助存储设备上的数据,并且将磁带主要用作备份或存档设备,因为与磁盘相比,它们的随机访问时间非常长。本文提出了一套技术,旨在将基于磁带的第三级存储设备无缝集成到对象关系数据库系统中,以存储和处理大型对象。这些技术以简单但功能强大的查询预执行为中心。查询预执行旨在为第三级存储访问收集准确的运行时访问模式,以便可以优化这些访问,以减少查询执行期间执行的随机访问的数量。本文研究了大对象表示,第三级块大小选择,第三级存储访问调度,批处理查询执行和第三级存储量管理等实际问题。本文还描述了这些技术在“天堂”中的设计和实现,“天堂”是一个并行的对象关系数据库系统,旨在有效处理各种新数据类型,包括空间数据,卫星图像,视频和文本。本文对这些提出的技术进行了性能评估,以证明其有效性。

著录项

  • 作者

    Yu, Jie-Bing.;

  • 作者单位

    The University of Wisconsin - Madison.;

  • 授予单位 The University of Wisconsin - Madison.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 133 p.
  • 总页数 133
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;
  • 关键词

  • 入库时间 2022-08-17 11:47:10

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