An Object Flow Computer for Object-Oriented Database Applications

这个项目的重点是设计和评估一个对象流 大型数据库应用程序的计算机。 其主要特点是 并行系统是（一）直接支持面向对象的 语义关联模型，可以对复杂数据进行建模， 显式地比现有的数据模型;（B）使用两阶段查询 处理技术，可以大大减少数据量 （c）在并行处理器之间传输;（d）使用垂直 基于数据语义属性的分片模型， 提高并发程度并最大限度地减少不必要的数据 转让;及（d）整合若干软件及硬件 解决大型数据库管理问题的技术。 研究 分析了设计中的性价比权衡， 在硬件和软件中的面向对象处理功能。 一个面向对象的数据库管理系统具有许多理想的 特性，包括数据抽象，继承，多态性， 信息隐藏以及数据和元数据的统一处理。 的 面向对象数据库管理系统的语义扩展 建模在支持高级应用程序方面有很大的希望， 如CAD/CAM、CASE和办公自动化。 然而，许多 关键技术及其在硬件和软件中的实现 并没有得到很好的理解。 该项目解决了设计权衡 根据技术和应用要求， 分析和实验的观点。 所取得的成果将 从而实现更高效、更快速面向对象的数据库管理 系统.

This project focuses on designing and evaluating an Object Flow Computer for large database applications. The main features of this parallel system are (a) the direct support of an object-oriented semantic association model, which can model complex data more explicitly than existing data models; (b) the use of a two-phase query processing technique, which can drastically reduce the amount of data to be transferred among parallel processors; (c) the use of a vertical fragmentation model based on semantic properties of data, which increases the degree of concurrency and minimizes unnecessary data transfers; and (d) the integration of a number of software and hardware techniques to solve very large database management problems. Research is carried out on analyzing the cost-performance tradeoffs in designing object-oriented processing functions in hardware and software. An object-oriented database management system possesses many desirable features, which include data abstraction, inheritance, polymorphism, information hiding, and uniform treatment of data and meta-data. The extension of object-oriented database management systems with semantic modeling holds great promise in supporting advanced application, such as CAD/CAM, CASE, and office automation. However, many of the essential techniques and their implementation in hardware and software are not well understood. This project addresses the design tradeoffs subject to technological and application requirements from an analytical and experimental points of view. Results developed will lead to more efficient and faster object-oriented database management systems.