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Algorithms of AP+ Tree Operations for IoT System

机译:物联网系统的AP +树操作算法

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摘要

Internet of things (IoT) system have a large number of sensors, and each sensor will generate a large amount of real-time streaming data. So real-time database technology for IoT network is very important to achieve real-time data stream generated by data aggregation, query, analysis and data mining. The biggest problem of the real time data management is data overload and how to efficiently find the data, temporal data index is a good solution. The paper investigated AP + tree design idea, operation algorithms including query, insertion, deletion and reconstruction. AP+ tree index structure is adopted for the real-time database in order to improve the efficiency of temporal queries. The result shows that the search efficiency of AP+ tree is 1.2 time of B+ tree under certain condition.
机译:物联网(IoT)系统具有大量传感器,每个传感器将生成大量实时流数据。因此,物联网网络的实时数据库技术对于实现通过数据聚合,查询,分析和数据挖掘产生的实时数据流非常重要。实时数据管理的最大问题是数据过载以及如何有效地查找数据,临时数据索引是一个很好的解决方案。本文研究了AP +树的设计思想,包括查询,插入,删除和重构的运算算法。实时数据库采用AP +树索引结构,以提高时间查询的效率。结果表明,在一定条件下,AP +树的搜索效率是B +树的1.2倍。

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