발간년도 : [2021]
| 논문정보 |
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| 논문명(한글) |
[Vol.16, No.1] Optimized Data Processing Analysis Using Big Data Cloud Platform |
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| 논문투고자 |
Jong-Yun Kim, Jinhong Kim |
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| 논문내용 |
Recently data processing has main gained many attention both from academic and commercial industry. Their term use to tools, technical methods and frameworks made to gathering, collect, store, processing and analysis massive amounts of data. Data processing and analysis are based on structured/semi-structured/unstructured by big data, as well as is generated from various different sources in the system at various rates. For the purpose of processing with their large data and suitable way, voluminous parallelism is usually used. The general architecture of a big data system is made up a shared cluster of their machines. Nonetheless, even in very parallel environment, data processing is often very time-consuming. A various applications can take up to everytime to produce useful results, interactive analysis and debugging. Nevertheless, we have main problems that how we have a high performance requires both quality of data locality and resource. Moreover, big data analysis provide the amount of data that is processed typically large in comparison with computation in their systems. In other words, specified optimization that would relieve low-level to achieve good performance essentially. Accordingly, our main goal of this research paper provide how we have to do to optimize for big data frameworks. Our contribute approach to make big data cloud platform for easy and efficient processing of big data. In addition, we provides results from a study of existing optimization of data processing in MapReduce and Hadoop oriented systems. |
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