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Query optimization in tertiary storage based systems using a generalized storage model.

机译:使用通用存储模型的基于三级存储的系统中的查询优化。

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摘要

With the growing demand for storage space from storage hungry database applications, designers will have to look at a hierarchical storage based systems. Such a system will consist of primary, secondary and tertiary storage devices. Currently tertiary storage is regarded as being external to the system. In this work we look at the situation where tertiary storage is part of an information system thus creating a data warehouse system where applications are no longer constrained by storage limitations.; In this work we are interested in modeling a complex storage system and the placement of data on it. Then we use the model to estimate the I/O related cost of the joint operation, in a hierarchical storage system environment. We propose a model for a generic storage system. The model can be used in a variety of ways: as a measuring tool to measure the cost of database operations, to measure a systems efficiency, to measure a systems reliability, etc.; as a advising tool that will advise designers on the best arrangement of devices and data placements to suit their needs; as a learning tool that learns from the users and their needs and thus adapts to better serve those needs.; In this work, the model is used to create a hierarchical storage system and measure the cost of several joint algorithms. We consider the nested loop and hybrid hash algorithms. Both these algorithms are modified to improve their performance with respect to I/O operations. We then add more capabilities (or intelligence) to each of the devices and study the gain in terms of the reduction in I/O cost. Finally, we look at methods to place fragments of a relation on the storage system such that the I/O time given a joint algorithm is under the specified acceptable time. We propose three placement algorithms aimed at reducing I/O cost. We also study the problem of placing one relation with respect to another.; We feel that the database and data warehouse community will benefit from this work in the following manner. The proposed model will provide designers the tool to design, analyze and implement an hierarchical storage system. one that integrates tertiary memory systems and conventional information systems to produce a data warehouse system. Using the model, designers will be able to use available devices to create a system that best suits their needs.
机译:随着渴望存储的数据库应用程序对存储空间的需求不断增长,设计人员将不得不考虑基于分层存储的系统。这样的系统将由一级,二级和三级存储设备组成。当前,第三存储被认为是系统外部的。在这项工作中,我们研究了三次存储是信息系统的一部分,从而创建了数据仓库系统的情况,其中应用程序不再受存储限制的约束。在这项工作中,我们对建模复杂的存储系统以及在其上放置数据感兴趣。然后,我们使用该模型来估计分层存储系统环境中联合操作的I / O相关成本。我们提出了通用存储系统的模型。该模型可以以多种方式使用:作为衡量数据库操作成本,衡量系统效率,衡量系统可靠性等的衡量工具;作为一种建议工具,可为设计人员就设备和数据放置的最佳安排提供建议,以适应他们的需求;作为一种学习工具,可以从用户及其需求中学习,从而可以更好地满足这些需求。在这项工作中,该模型用于创建分层存储系统并衡量几种联合算法的成本。我们考虑嵌套循环和混合哈希算法。修改了这两种算法,以提高它们在I / O操作方面的性能。然后,我们为每个设备添加更多功能(或智能),并研究降低I / O成本的收益。最后,我们研究将关系的片段放置在存储系统上的方法,以使给定联合算法的I / O时间在指定的可接受时间范围内。我们提出了三种旨在降低I / O成本的布局算法。我们还研究了将一种关系相对于另一种关系放置的问题。我们认为数据库和数据仓库社区将通过以下方式从这项工作中受益。提出的模型将为设计人员提供设计,分析和实现分层存储系统的工具。集成了第三级存储系统和常规信息系统以生成数据仓库系统的系统。使用该模型,设计人员将能够使用可用的设备来创建最适合其需求的系统。

著录项

  • 作者

    Tikekar, Rahul Vasant.;

  • 作者单位

    Wayne State University.;

  • 授予单位 Wayne State University.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 136 p.
  • 总页数 136
  • 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 11:48:54

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