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Issues in distributed operating system support for distributed database management

机译：分布式操作系统支持分布式数据库管理中的问题

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摘要

Organizations are becoming richer in computer hardware as it becomes cheaper and more powerful. At the same time they are accumulating unprecedented amounts of data. Some organizations buy computers specifically designed for database functions. Others accumulate database processing potential through addition of general purpose workstations to service specific functions for their employees. In the future, we anticipate that knowledge based front ends to conventionally structured databases will become increasingly important. The queries which can be expected from such an environment may be significantly more complex than the simple queries that are the mainstay of database technology today.;In the past decade, distributed operating systems (DOS) have been developed to facilitate access to shared resources in networks of computer systems. The revolution in main memory technology has resulted in great increases in work station memory capacity. Along with a reduction in cost for increasingly powerful processors, this has made networks of relatively powerful machines quite common. In spite of significant advances in hardware technology, software has lagged behind in providing operating system functions capable of harnessing the potential for improved performance. Memory added to systems has been used primarily for support of virtual memory operation. Greater amounts of main memory can more efficiently support increases in size for program virtual address spaces and the system I/O buffer pool.;The focus of our research is distributed database management systems (DDBMS). We describe DOS facilities that are available in current systems and how they fail to efficiently support the I/O requirements of advanced DDBMS. We explore the potential for improved performance in database query processing for algorithms that can take advantage of large memory. We introduce hash join query processing techniques and describe a new algorithm for processing 3-way join queries. Query optimization depends on knowledge of memory availability for algorithm selection. We propose DOS functionality designed to reduce I/O cost and provide improved support for parallel processing. We use an experimental DDBMS implementation to quantify the potential for improvement from a DOS implementation of our proposed functionality.
机译：随着计算机硬件变得更便宜，更强大，组织变得越来越丰富。同时，他们正在积累前所未有的数据量。一些组织购买专门为数据库功能设计的计算机。其他公司则通过添加通用工作站来为其员工提供特定功能，从而积累了数据库处理潜力。在未来，我们预计常规结构化数据库的基于知识的前端将变得越来越重要。在这种环境下可以预期的查询可能比当今作为数据库技术的主流的简单查询要复杂得多。在过去的十年中，已经开发了分布式操作系统（DOS）来促进对共享资源的访问。计算机系统网络。主存储器技术的革命导致工作站存储器容量的极大增加。随着功能越来越强大的处理器成本的降低，这使得功能相对强大的机器网络变得相当普遍。尽管硬件技术取得了显着进步，但是软件在提供能够利用潜力来提高性能的操作系统功能方面仍然落后。添加到系统中的内存主要用于支持虚拟内存操作。大量的主内存可以更有效地支持程序虚拟地址空间和系统I / O缓冲池的大小增加。；我们研究的重点是分布式数据库管理系统（DDBMS）。我们描述了当前系统中可用的DOS工具，以及它们如何无法有效地支持高级DDBMS的I / O要求。我们探索了可以利用大内存的算法在数据库查询处理中提高性能的潜力。我们介绍了哈希联接查询处理技术，并描述了一种用于处理三向联接查询的新算法。查询优化取决于用于选择算法的内存可用性的知识。我们提出了DOS功能，旨在减少I / O成本并为并行处理提供改进的支持。我们使用实验性DDBMS实现来量化从我们提议功能的DOS实现中改进的潜力。

著录项

  • 作者

    Spetka, Scott Edward.;

  • 作者单位

    University of California, Los Angeles.;

  • 授予单位 University of California, Los Angeles.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 1989
  • 页码 182 p.
  • 总页数 182
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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