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Support for Data Sharing in a Heterogeneous Distributed System.

Support for Data Sharing in a Heterogeneous Distributed System.
支持异构分布式系统中的数据共享。
批准号:
8822158
负责人:
Barbara Liskov
金额:
$0.0万
依托单位国家:
美国
项目类别:
Continuing grant
财政年份:
1989
资助国家:
美国
项目状态:
已结题
起止时间:
1989-09-15 至 1993-02-28

项目摘要

项目成果

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中文摘要
翻译
越来越多的强大而廉价的计算机位于附近 个人用户,这些计算机连接在一起, 本地或远距离。 这些计算机是异构的 因为用户需要不同的功能;立法使用 在任何组织中使用完全相同的系统似乎在未来都是不可能的 就像过去一样。 与并行处理一起, 异质性和分布性可能占主导地位 计算机系统在未来十年的特点。 分布式、异构系统的出现带来了一些新的 问题 一个特别重要的问题是缺乏支持 以安全和方便的方式共享程序和数据, 异构网络。 该项目旨在纠正这一点 通过提供独立于语言的对象存储库来解决问题。 的 存储库可供以不同编程方式编写的程序使用 语言,并运行在不同的硬件和不同的 操作系统,共享信息。 新的存储库将是 语言独立,将存储类型化,结构化的对象,将 支持原子交易,将是高度可靠和高度 可用,将控制对其对象的访问,将执行良好, 将是可扩展的,因此它可以支持广泛的系统大小。
英文摘要
Increasingly, powerful and inexpensive computers are situated near individual users, and these computers are linked together either locally or across long distances. The computers are heterogeneous because users require different capabilities; legislating the use of identical systems in any organization seems as unlikely in the future as it has been in the past. Together with parallel processing, heterogenity and distribution are likely to be the dominant characteristics of computer systems during the next decade. The advent of distributed, heterogeneous systems has led to some new problems. One particularly important problem is the lack of support for sharing of programs and data in a safe and convenient manner across a heterogeneous network. This project is aimed at correcting this problem by providing a language-independent object repository. The repository can be used by programs written in different programming languages, and running on different hardware and under different operating systems, to share information. The new repository will be language independent, will store typed, structured objects, will support atomic transactions, will be both highly reliable and highly available, will control access to its objects, will perform well, and will be scalable, so that it can support a wide range of system sizes.
期刊论文(0)
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科研奖励(0)
会议论文
CSR: Medium: Collaborative Research: Fast and Simple Concurrency Through Data-Abstraction Transactions
CSR-DMSS, SM: Aeolus: Secure Support for Preserving Confidentiality and Integrity in a Distributed Environment
ITR: Collaborative Research: (ASE+NHS) - (int): BFT-LS: Byzantine Fault Tolerance for Large-Scale, High-Performance Distributed Storage Systems
Understanding Degrees of Isolation
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: