Earticle

초록

영어

With the recent growth in cloud computing, big data processing and collaboration between businesses are emerging as new paradigms in the IT industry. In an environment where a large amount of data is generated in real time, such as SNS, big data processing techniques are useful in extracting the valid data. MapReduce is a good example of such a programming model used in big data extraction. With the growing collaboration between companies, problems of duplication and heterogeneity among data due to the integration of old and new information storage systems have arisen. These problems arise because of the differences in existing databases across the various companies. However, these problems can be negated by implementing the MapReduce technique. This paper proposes a collaboration system based on Database as a Service, or DBaaS, to solve problems in data integration for collaboration between companies. The proposed system can reduce the overhead in data integration, while being applied to structured and unstructured data.

목차

Abstract
 1. Introduction
 2. Related Works
  2.1 DBaaS
  2.2 Document Oriented Database
  2.3 MapReduce
 3. Collaboration System
 4. Application Example
 5. System comparison
 6. Conclusion
 References

키워드

저자

• Yean-Woo Jung [ Department of Information System, KwangWoon University Graduate School of Information Contents, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, Korea ]
• Jong-Yong Lee [ Ingenium college of liberal arts, KwangWoon University, 20 Kwangwoon–ro, Nowon-gu, Seoul, 01897, Korea ]
• Kye-Dong Jung [ Ingenium college of liberal arts, KwangWoon University, 20 Kwangwoon–ro, Nowon-gu, Seoul, 01897, Korea ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380