CAJ | 학술논문

当前大数据产品和技术的发展非常迅速，市场中存在各种各样的商业版和开源的大数据软件，这些大数据系统解决了大数据大体量、多样性、时效性的挑战。随着大数据产品和技术成熟，如何去测试和评估这些大数据产品成为新的研究主题。文章简要介绍大数据兴起的背景，综述大数据处理系统的主要构成，并针对大数据处理系统的特点，提出构建大数据基准测试平台的要素和流程，最后介绍当前大数据基准测试工具和存在的问题，展望未来大数据基准测试工具的发展方向。
당전대수거산품화기술적발전비상신속，시장중존재각충각양적상업판화개원적대수거연건，저사대수거계통해결료대수거대체량、다양성、시효성적도전。수착대수거산품화기술성숙，여하거측시화평고저사대수거산품성위신적연구주제。문장간요개소대수거흥기적배경，종술대수거처리계통적주요구성，병침대대수거처리계통적특점，제출구건대수거기준측시평태적요소화류정，최후개소당전대수거기준측시공구화존재적문제，전망미래대수거기준측시공구적발전방향。
With the rapid development of big data products and technologies, many commercial and open sources big data softwares have emerged, which have solved the problems brought by big data. As big data products and technologies have become mature, how to test and evaluate the products is a new research topic. This paper brielfy introduces the background of big data and the main components of big data processing system. After studying the features of big data systems, the components of big data benchmark are discussed. Then the article expresses the methodology on the design of big data benchmark tool. At last, the current big data benchmark tools are introduced, folowed by a discussion about the problem and future direction of the big data benchmark tool.