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A new formalism for dynamic reconfiguration of data servers in a cluster

机译:动态重新配置集群中数据服务器的新形式主义

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The use of parallel file systems constitutes a high-performance solution to the problem known as I/O crisis in parallel or distributed environments. In the last years, clusters have become one of the most cheap and flexible frameworks for the deployment of parallel and distributed applications. Both parallel file systems and clusters have been successfully used in several scenarios, where it is possible to share and access data in an efficient way. In fact, clusters provide a huge number of advantages to this kind of systems, the wide availability of tools integrated with them being one of the most important. Nevertheless, clusters and, in general, high-availability distributed systems are characterized to be dynamically modified. Operations such as the addition or elimination of nodes are typical in a cluster environment. Therefore, it is necessary to use new approaches for the dynamic reconfiguration of the nodes that belong to a cluster. This paper describes a mathematical formalism for achieving high-performance and dynamic reconfiguration of data-based clusters with service maintenance.
机译:并行文件系统的使用构成了解决并行或分布式环境中的I / O危机问题的高性能解决方案。在过去的几年中,群集已成为部署并行和分布式应用程序的最便宜,最灵活的框架之一。并行文件系统和群集都已成功用于多种方案中,在这些方案中,可以有效地共享和访问数据。实际上,集群为此类系统提供了许多优势,与之集成的工具的广泛可用性是最重要的优势之一。但是,群集和通常具有高可用性的分布式系统具有动态修改的特征。诸如添加或删除节点之类的操作在集群环境中很典型。因此,有必要使用新方法对属于群集的节点进行动态重新配置。本文描述了一种数学形式主义,用于通过服务维护来实现基于数据的集群的高性能和动态重新配置。

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