Earticle

초록

영어

Ranch industry has grown bigger. In Australia, ranches have very large number of live-stock commodities: cattle, lambs, and muttons. To manage such a very large scale commodi-ties, they need to install sensor network with MapReduce of Hadoop; since the sensor net-work generates a huge amount of data. The ranch is divided into several patterned regions and a lot of hubs are installed in there for retrieving the sensor data. However, when the sen-sor moves to an overlapped area among some hubs, the sensor data are transmitted to all hubs covering the area. Obviously, these data is redundant. Therefore, we propose removal technique to delete the redundant data and to efficiently process the data on the map phase. In order to detect redundancy, the data will be compared using some parameters, and then the detected redundant data will be deleted according to some rules.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Target Environment and Problem Definition
 4. Solution
 5. Test
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Seungwoo Jeon [ Dept. of Computer Engineering, Pusan National University ]
• Bonghee Hong [ Dept. of Computer Engineering, Pusan National University ]
• Joonho Kwon [ Institute of Logistics Information Technology, Pusan National University ]
• Yoon-sik Kwak [ Dept. of Computer Engineering, Korea National University of Transportation ]
• Seok-il Song [ Dept. of Computer Engineering, Korea National University of Transportation ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605