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A Gradient Topology for Master-Slave Replication in Peer-to-Peer Environments

机译:对等环境中主从复制的渐变拓扑

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Open peer-to-peer architectures offer many possibilities for replicating database content, but designers have to deal with problems such as peer churn rates and inherent uncertainty in decision making. The lack of global knowledge of peer characteristics poses the specific problem of reliable peer discovery for database replica placement. This paper describes a self-organising algorithm for generating a peer-to-peer gradient topology that helps to solve the problem of replica placement through the clustering of peers with similar uptime and performance characteristics. We evaluate the algorithm by simulation, and propose an approach for master-slave replication that exploits the properties of the presented topology.
机译:开放的对等体系结构为复制数据库内容提供了许多可能性,但是设计人员必须处理诸如对等流失率和决策中固有的不确定性之类的问题。缺乏对等点特性的全局知识,提出了可靠的对等点发现以进行数据库副本放置的特定问题。本文介绍了一种用于生成对等梯度拓扑的自组织算法,该算法可通过具有相似的正常运行时间和性能特征的对等体的集群来帮助解决副本放置的问题。我们通过仿真评估算法,并提出了一种利用所呈现拓扑的属性进行主从复制的方法。

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