分布式数据处理

本文采用了一个开源的分布式数据处理框架Hadoop来设计和实现模型检测算法。

Hadoop , an open source distributed data processing framework , is used to design and implement the model checking algorithm .

运用XML和SqlServer2000的分布式数据处理技术实现了异构数据之间的转换。并详细介绍了按照软件工程的方法和思想开发系统的各个环节。

XML and SQL Server 2000 distributed data processing technique are adopted to realize the transformation between heterogeneous structure data , in addition we also illustrate each step according to methodology of software engineering and open search system .

hadoopmap/reduce作为一个并行数据处理框架，被越来越多的应用到分布式数据处理当中。

Hadoop map / reduce has been used more and more in distributed data processing as a parallel data processing framework .

方案利用了Linux操作系统的多进程、多线程、线程的静态和动态优先级提高监视主机实时性，以多监视主机的分布式数据处理来提高系统吞吐量。

Real-time performance of the monitor host is enhanced using the multi-process , multithread , priority provided by Linux . Meanwhile , the performance of the system is improved by distributed data processing based on multiple monitor hosts .

尽管Hadoop是一些大型搜索引擎数据缩减功能的核心部分，但是它实际上是一个分布式数据处理框架。

Although Hadoop is the core of data reduction for some of the largest search engines , it 's better described as a framework for the distributed processing of data .

通过将相关的计算分散到簇头节点上，ADC实现了分布式数据处理，具有良好的可扩展性。（3）提出基于环状移动路径的多移动节点路径规划算法。

ADC archives distributed data processing and excellent scalability by distributing the correlated computation to each cluster header . ( 3 ) We propose a multiple mobile nodes path planning algorithm based on loop-like travel path .

选择Oracle10g为后台数据库，它具有强大的数据管理功能，提供标准的操作接口，支持数据的完整性管理、安全性管理和分布式数据处理。

Oracle 10g is selected as database , since it has powerful management functions , and provides standard operational interface and support integrity , security management and distributed processing .

分布式数据处理中的并发控制与一致性维护技术

The Concurrency Control and Consistent Maintenance Tech-niques in Distributed Data Processing

数字城市中的分布式数据处理关键技术研究

The Studying of Distributive Data Process Techonology in the Digital City

这种方式称之为分布式数据处理。

This approach is called distributed data processing .

一种分布式数据处理模型

A Distributed D a t a Processing Model

图形数据库的分布式数据处理

Distributed Data Process in Graph Database

讨论了基于三层结构的分布式数据处理技术和多媒体技术，以及在信息管理系统中的实现。

Discusses the techniques about distributive data processing and multimedia based on 3 layer structure , and application in MIS .

根据电子政务的特殊功能和数据类型，提出了针对电子政务的分布式数据处理模型及系统主要特征。

According to the special function moduls and data types , a distribution data process model and main system characteristic for electronic government affair is founded .

本文介绍INFORMIX－Online动态服务器的分布式数据处理所涉及到的若干问题并简单叙述两阶段提交协议的原理。

This paper introduces some problems which exist in the distributed data function of INFORMIX - Online dynamic server and the principle of two - phase commit protocol .

较为详细地介绍了客户/服务器模式、分布式数据处理、通用数据访问、实时数据库接口等技术在调度自动化系统中的应用。

The application of database technology to dispatching automation system , including client / server model , distributed data processing , universal data access and database interface is described in detail .

针对上述问题，本文围绕数据收集方法，从数据的时间与空间相关性模型、分布式数据处理与收集方法、移动节点的移动路径优化和多移动节点协作的数据收集四个方面展开研究。

Aiming at the problems mentioned above , this thesis studies data collection in wireless sensor networks from the following four aspects : data spatial-temporal correlation model , distributed data processing and collection , mobile nodes travel paths optimization and multiple mobile nodes cooperated data collection .

解决了海量空间数据与属性数据的无缝集成、查询检索，空间数据完整性、一致性维护，分布式数据处理与维护、事务处理，制图和数据安全性控制等问题。

The thesis also resolves a series of questions such as seamless integration of huge spatial data and attribute data , query and searches , spatial data maintenance of integrality and coherence , distributed data process and maintenance , transaction processing , cartography , data security control and so on .

通过提供分布式网络数据处理有效地减少了通信开销；

It effectively decreases traffic overhead by providing distributed in-network data processing ;

一种支持分布式数据流处理的双层重叠网络模型

A Two-Tier Overlay Network Model for Distributed Data Stream Processing

分布式数据流处理系统动态负载管理研究

Dynamic Load Management of Distributed Data Stream Processing System

基于B/S方式分布式数据批量处理的设计与实现

Design and Implementation of Distributed Data Batch Processing Based on B / S

分布式数据流处理中的负载分配策略

Load Distribution Strategy in Distributed Data Stream Processing

于是，分布式空间数据处理能力的获取就是下一个需研究的方向。

Thus , the next research direction is acquiring the capability on distributed geo-data process .

讨论了分布式数据流处理的需求以及重叠网络的特点。

Requirements for processing data stream in distributed networks and characteristics of the overlay network are discussed .

所以无论是集中式数据流处理系统还是分布式数据流处理系统，负载管理成为研究的热点与重点。

Load management is the focus of research in both the distributed stream processing systems and centralized stream processing systems .

分布式的数据处理技术可以解决在数据处理量过大而当前现有的计算机设备不能独立完成相应的计算任务的矛盾。

The distribution data process technology can smooth the contradiction between tremendous data and incapability to undertake independently the computing task with the existing computing devices .

在分布式数据查询处理中，连接操作是最常用的、费时的而且代价较高的一种操作，也是影响查询效率的关键因素。

In processing of the distribute data query , the join operation is the kind of the most in common use , time-consuming and a higher price , also is the key factor of the query efficiency for affect .

Linux环境下基于Oraclespatial的分布式海量空间数据处理平台的设计与实现

Design of a Distributed Platform of Massive Spatial Data Processing Based on Oracle Spatial and Linux Environment

首先研究了并行信号处理系统中制约系统性能的主要因素；然后分析了分布式组网雷达数据处理技术；并且对航迹关联和融合算法进行了并行化处理和MATLAB仿真。

Firstly , the main factor which restricts the performance of parallel signal processing system is researched . Secondly , the signal processing technology of netted radar is analysised . Thirdly , the data association and fusion arithmetic is researched with parallel technique and is emulated by MATLAB .