Overcoming the challenge of variety: big data abstraction, the next evolution of data management for AAL communication systems

作者: Rui Mao , Honglong Xu , Wenbo Wu , Jianqiang Li , Yan Li

DOI: 10.1109/MCOM.2015.7010514

关键词: Communications systemMetric spaceData typeData abstractionBig dataData managementInformation technologyComputer scienceTheoretical computer science

摘要: With the extensive use of information technology in AAL communication systems, a data management model has recently embodied 3-V characteristics big data: volume, velocity, and variety. A lot work been done on volume but not as much reported To handle variety data, universal solutions with acceptable performance are usually more cost effective than customized solutions. achieve universality, basic idea is to first define abstraction that covers wide range types, then build system for abstraction. Traditional database systems commonly multidimensional type, or feature vectors, However, many new types cannot be abstracted into space. find we propose concept abstraction, metric space types. Furthermore, demonstrate how metricspace works, survey state art indexing, fundamental task management. Finally, open research issues discussed.

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