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链接流数据处理引擎:事实和数字

Linked Stream Data Processing Engines: Facts and Figures
课程网址: http://videolectures.net/iswc2012_le_phuoc_processing_engines/  
主讲教师: Danh Le Phuoc
开课单位: 德国柏林工业大学
开课时间: 2012-12-03
课程语种: 英语
中文简介:
链接流数据,即扩展用于表示从传感器社交网络应用生成的流数据的RDF数据模型正在普及。这促进了开发与处理引擎相关的相应数据模型的大量工作。但是,目前实施的发动机尚未经过全面评估,无法评估其能力。对于合理的系统评估,在这项工作中,我们提出了一种新颖的,可定制的评估框架和相应的方法,用于实际数据生成,系统测试和结果分析。基于该评估环境,已经进行了大量实验以比较现有技术的LSD发动机。定性和定量属性,考虑到流处理的基本原则。因此,我们提供了实验结果的详细分析,揭示了改善当前和未来发动机的有用发现。
课程简介: Linked Stream Data, i.e., the RDF data model extended for representing stream data generated from sensors social network applications, is gaining popularity. This has motivated considerable work on developing corresponding data models associated with processing engines. However, current implemented engines have not been thoroughly evaluated to assess their capabilities. For reasonable systematic evaluations, in this work we propose a novel, customizable evaluation framework and a corresponding methodology for realistic data generation, system testing, and result analysis. Based on this evaluation environment, extensive experiments have been conducted in order to compare the state-of-the-art LSD engines wrt. qualitative and quantitative properties, taking into account the underlying principles of stream processing. Consequently, we provide a detailed analysis of the experimental outcomes that reveal useful findings for improving current and future engines.
关 键 词: 链接流; 传感器; 数据模型
课程来源: 视频讲座网
最后编审: 2019-05-06:cwx
阅读次数: 73