Design and Implementation of Data Management Scheme to Enable Efficient Analysis of Sensing Data

Y. Hashi, Kazuyoshi Matsumoto, Y. Seki, M. Hiji, Toru Abe, T. Suganuma
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引用次数: 5

Abstract

ICT supports smart communities in their aim to build efficient and sustainable social infrastructure. To realize a smart community, it is necessary to manage and analyze data about the community including large volumes of sensing data, meta-data, as well as information on data sources and consent for use, all of which are interrelated. We propose a data management scheme capable of both high-speed search of large volumes of data for analysis, and flexible search of data which changes depending on the collection environment. A major characteristic of our scheme is that it combines a schema-free, document-oriented database and an graph database suited for flexible search. We implement proposed data management scheme, and evaluate a performance of the search for sensing data. As the result, searching time of large volumes of sensing data is very high-speed. We believe that proposed data management scheme is able to minimize the the time required for analysis.
数据管理方案的设计与实现,以实现对传感数据的有效分析
信息通信技术支持智慧社区建设高效和可持续的社会基础设施。为了实现智慧社区,需要对社区数据进行管理和分析,包括大量的感知数据、元数据以及数据源信息和使用许可信息,这些数据都是相互关联的。我们提出了一种数据管理方案,既可以高速搜索大量数据进行分析,又可以根据收集环境的变化灵活搜索数据。我们的方案的一个主要特点是,它结合了一个无模式的、面向文档的数据库和一个适合灵活搜索的图形数据库。我们实现了提出的数据管理方案,并评估了对传感数据的搜索性能。因此,对大量传感数据的搜索速度非常快。我们相信提出的数据管理方案能够最大限度地减少分析所需的时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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