【摘要】 流式大数据呈现出实时、连续、无限等特征,类型繁杂,只能一次性顺序处理。研究流式大数据的提取、变换、分析,具有较强的理论和应用价值。流式模型转换利用模型驱动开发积累的方法、技术、标准和工具,从更高的抽象层次处理大数据流,是一个正在浮现的研究热点领域。结合前期在模型转换方面的工作,提出将OMG标准模型转换语言QVT-R应用于流模型转换,为流式大数据处理提供一个直观简洁、表达力强的全新方法,满足大数据和物联网产业发展的实际需要。更多还原

【Abstract】 Big data stream,with the characteristics of being real-time,continuous,unlimited,complex and various,must be processed in one pass. The study on the extraction,transformations and analysis of big data streams has both theoretical and practical values. Combined with our previous work on model transformations,we propose to apply the graphical notation of QVT-R,the OMG ’s standard model transformation language,to streaming transformations. It will provide a concise,intuitive,and yet effective way to deal with big data streams.However,the work of the paper provides a novel approach for streaming model transformations and also meets the needs of big data and Io T industry.更多还原