한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2013년도 춘계학술발표대회
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- Pages.45-48
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- 2013
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
Design an Indexing Structure System Based on Apache Hadoop in Wireless Sensor Network
- Keo, Kongkea (Dept of Computer Engineering, Wonkwang University) ;
- Chung, Yeongjee (Dept of Computer Engineering, Wonkwang University)
- 발행 : 2013.05.10
초록
In this paper, we proposed an Indexing Structure System (ISS) based on Apache Hadoop in Wireless Sensor Network (WSN). Nowadays sensors data continuously keep growing that need to control. Data constantly update in order to provide the newest information to users. While data keep growing, data retrieving and storing are face some challenges. So by using the ISS, we can maximize processing quality and minimize data retrieving time. In order to design ISS, Indexing Types have to be defined depend on each sensor type. After identifying, each sensor goes through the Indexing Structure Processing (ISP) in order to be indexed. After ISP, indexed data are streaming and storing in Hadoop Distributed File System (HDFS) across a number of separate machines. Indexed data are split and run by MapReduce tasks. Data are sorted and grouped depend on sensor data object categories. Thus, while users send the requests, all the queries will be filter from sensor data object and managing the task by MapReduce processing framework.
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