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Hierarchical Data Replication and Service Monitoring Methods in a Scientific Data Grid

机译:科学数据网格中的分层数据复制和服务监视方法

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References(20) In a grid and distributed computing environment, data replication is an effective way to improve data accessibility and data accessing efficiency. It is also significant in developing a real-time service monitoring system for a Chinese Scientific Data Grid to guarantee the system stability and data availability. Hierarchical data replication and service monitoring methods are proposed in this paper. The hierarchical data replication method divides the network into different domains and replicates data in local domains. The nodes in a local domain are classified into hierarchies to improve data accessibility according to bandwidth and storage memory space. An extensible agent-based prototype of a hierarchical service monitoring system is presented. The status information of services in the Chinese Scientific Data Grid is collected from the grid nodes based on agent technology and then is transformed into real-time operational pictures for management needs. This paper presents frameworks of the hierarchical data replication and service monitoring methods and gives detailed resolutions. Simulation analyses have demonstrated improved data accessing efficiency and verified the effectiveness of the methods at the same time.
机译:参考文献(20)在网格和分布式计算环境中,数据复制是提高数据可访问性和数据访问效率的有效方法。在为中国科学数据网格开发实时服务监视系统方面,对保证系统稳定性和数据可用性也具有重要意义。提出了分层数据复制和服务监控方法。分层数据复制方法将网络划分为不同的域,并在本地域中复制数据。根据带宽和存储内存空间,将本地域中的节点分为多个层次结构以提高数据可访问性。提出了一种基于可扩展代理的分层服务监视系统原型。基于代理技术从网格节点收集中国科学数据网格中服务的状态信息,然后将其转换为实时的操作图,以满足管理需求。本文介绍了分层数据复制和服务监视方法的框架,并给出了详细的解决方案。仿真分析表明,提高了数据访问效率,并同时验证了方法的有效性。

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