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The Research and Implementation of Distributed Data Replication Over Slow Network Connections
Author: XuZhiJun
Tutor: YeXinMing
School: Inner Mongolia University
Course: Computer Software and Theory
Keywords: Slow Network Distributed database Data replication Asynchronous replication Timestamp
CLC: TP311.13
Type: Master's thesis
Year: 2005
Downloads: 80
Quote: 3
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Abstract
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Accompanied by the deepening of enterprise information work , you need to be broader geographically more dispersed range of enterprise information management system , the use of a distributed database system is the inevitable choice . In a distributed database system in order to improve the efficiency , reliability , and to reduce the burden on the network , often using data replication technology to save copies of the database at each node . Due to various limitations , slow network enterprise application network in particular, is an important form of remote network . Existing distributed database replication technology did not fully consider the characteristics of slow network bandwidth , reliability , and does not apply to a slow network environment . And the existing replication scheme is also a certain lack of flexible replication requirements to meet business users and supports heterogeneous database replication . In this paper, the characteristics of a slow network , proposed a solution to solve the slow network distributed bi-directional data replication problem . The program uses to adapt to the slow network environment \The program does not rely on a specific database , data transmission less network overhead , according to user needs flexible custom replication rules to adapt to the reliability of the network , robustness . This scheme has been applied to the enterprise database system solutions in a slow network environment , play practical utility .
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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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