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Monitoring systems for parallel distributed data management systems

机译:并行分布式数据管理系统的监视系统

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Usually, a Big Data system has a monitoring system for performance evaluation and error prevention. Although, there are some disadvantages in the way that these tools display the information and its targeted approach to physical components. The main goal is to study visual and interaction mechanisms that allow the representation of monitoring data in grid computing environments, providing the end-user information which can contribute objectively to the system analysis. This paper has the purpose to present the state of the art, carries out an intermediate evaluation of the current work and present the proposed solution.
机译:通常,大数据系统具有用于性能评估和错误预防的监视系统。但是,这些工具显示信息的方式及其对物理组件的针对性方法存在一些缺点。主要目标是研究视觉和交互机制,这些机制允许在网格计算环境中表示监视数据,并提供可以客观地有助于系统分析的最终用户信息。本文旨在介绍现有技术,对当前工作进行中间评估,并提出建议的解决方案。

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