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Concept of Dynamic Index Management in Temporal Approach Using Intelligent Transport Systems

机译:智能传输系统时临时方法动态索引管理的概念

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Effective data approach based on storing and managing capabilities and technologies is one of the main performance requirements today. When the amount of data required to be processed, stored and evaluated, is followed, we come to the conclusion that the number is still rising, the growth itself is significant, often enormous. Nowadays, there is no longer enough to keep only current valid data, actual states of the attributes and objects, but we need to define comprehensive solution with emphasis on changes over the time to identify relationships and dependencies. Moreover, such temporal solution is the basis for optimization and decision making. In this paper, we deal with the temporal definition and propose own index principles based on dynamic data localization, which means, that individual index nodes are not available all the time, moreover, after failure, particular node can provide in actual data.
机译:基于存储和管理功能和技术的有效数据方法是当今主要性能要求之一。当遵循所需的数据量,储存和评估时,我们得出结论,该数字仍在上升,增长本身是显着的,通常是巨大的。如今,不再足以保持当前的有效数据,属性和对象的实际状态,但我们需要定义全面的解决方案,重点是随时识别关系和依赖性的变化。此外,这种时间解决方案是优化和决策的基础。在本文中,我们处理时间定义并提出自己的索引原则,基于动态数据定位,这意味着,单个索引节点在所有时间一直没有,而且故障后,特定节点可以提供实际数据。

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