文章基本信息

标题：Pattern-based Data Sharing in Big Data Environments
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作者：Muhammad Habib ur Rehman ; Aisha Batool
期刊名称：Digital Technologies
出版年度：2015
卷号：1
期号：1
页码：39-42
DOI：10.12691/dt-1-1-8
出版社：Science and Education Publishing
摘要：The staggering growth in Internet of Things (IoTs) technologies is the key driver for generation of massive raw data streams in big data environments. In addition, the collection of raw data streams in big data systems increases computational complexity and resource consumption in cloud-enabled data mining systems. In this paper, we are introducing the concept of pattern-based data sharing in big data environments. The proposed methodology enables local data processing near the data sources and transforms the raw data streams into actionable knowledge patterns. These knowledge patterns have dual utility of availability of local knowledge patterns for immediate actions as well as for participatory data sharing in big data environments. The proposed concept has the wide potential to be applied in numerous application areas.
关键词：big data; edge computing; cloud computing; internet of things