通过使用灵活的数据分发机制优化分布式处理

Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications Pub Date : 1990-03-07 DOI:10.1109/PARBSE.1990.77178

S. Jablonski, T. Ruf, H. Wedekind

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引用次数: 2

摘要

作者介绍并讨论了一种分布式数据处理的通用模型。数据通信分为两个步骤:通过发送子应用程序提供信息和通过接收子应用程序接受信息。对于这两个通信步骤，定义了同步和异步处理模式。支持这些不同的通信模式，子应用程序之间的合作可以根据整个应用程序系统的特定需求进行非常紧密的定义。这优化了分布式数据处理。作者演示了基于柔性通信机制的分布式数据管理系统的原型实现。

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Optimization of distributed processing by using a flexible data distribution mechanism

The authors introduce and discuss a generalized model for distributed data processing. Data communication is split up into two steps: the offering of information by sending subapplications and its acceptance by receiving subapplications. For both communication steps, synchronous and asynchronous processing modes are defined. Supporting these different communication modes, the cooperation between subapplications can be defined very closely with respect to the specific demands of the overall application system. This optimizes distributed data processing. The authors demonstrate the prototype implementation of a distributed data management system based on the flexible communication mechanism considered here.<>

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Proceedings. PARBASE-90: International Conference on Databases, Parallel Architectures, and Their Applications

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